LDA.ipynb

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    "# Aprendizaje no supervisado\n",
    "\n",
    "El aprendizaje no supervisado está orientado a la **exploración** de un conjuntos de datos. En los ejemplos que trabajaremos en este laboratorio estaremos trabajando con textos. \n",
    "\n",
    "Una exploración efectiva, que permita la generación de hipótesis sobre el conjunto que estamos estudiando, puede combinar el uso de herramientas de visualización de los datos con el uso de métodos matemáticos más sofisticados, como _Latent Dirichlet Allocation_ (LDA) para la detección de temas. \n",
    "\n",
    "En los siguientes ejercicios exploraremos algunas posibilidades que ofrece Python para el aprendizaje no supervisado en texto, usando las bibliotecas matplotlib, pandas, wordcloud y sklearn."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## I. Nubes de Palabras\n",
    "Las nubes de palabras son una forma de visualización muy sencilla: cuanto más veces aparezca una palabra en un documento, la palabra aparece más grande y ancha en el diagrama de nube. De este modo, con sólo ver la nube de palabras podemos tener una idea de las palabras clave en el texto y, en consecuencia, conjeturar sobre el contenido del documento. \n",
    "\n",
    "Para usar nubes de palabras en Python, vamos a empezar con un ejemplo muy sencillo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import wordcloud\n",
    "\n",
    "textito = 'pepe pecas pica papas con un pico pica'\n",
    "nube = wordcloud.WordCloud()\n",
    "nube.generate(textito)\n",
    "nube.to_image()\n",
    "plt.imshow(nube)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ahora vamos a intentar un texto más largo en el que la frecuencia de palabras nos diga algo. Para este ejemplo vamos a usar una versión resumida del cuento de *Caperucita Roja*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# abrir el archivo que contiene el texto a estudiar\n",
    "archivoF = open(\"data/caperucitaRoja.txt\", 'r')\n",
    "\n",
    "#se lee el texto y se transforma a minúsculas\n",
    "texto = archivoF.read().lower() \n",
    "\n",
    "archivoF.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para eliminar las palabras muertas, podemos utilizar listas predefinidas en la biblioteca de Python **nltk**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     /Users/roicort/nltk_data...\n",
      "[nltk_data]   Unzipping corpora/stopwords.zip.\n"
     ]
    },
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "{'a',\n",
       " 'al',\n",
       " 'algo',\n",
       " 'algunas',\n",
       " 'algunos',\n",
       " 'ante',\n",
       " 'antes',\n",
       " 'como',\n",
       " 'con',\n",
       " 'contra',\n",
       " 'cual',\n",
       " 'cuando',\n",
       " 'de',\n",
       " 'del',\n",
       " 'desde',\n",
       " 'donde',\n",
       " 'durante',\n",
       " 'e',\n",
       " 'el',\n",
       " 'ella',\n",
       " 'ellas',\n",
       " 'ellos',\n",
       " 'en',\n",
       " 'entre',\n",
       " 'era',\n",
       " 'erais',\n",
       " 'eran',\n",
       " 'eras',\n",
       " 'eres',\n",
       " 'es',\n",
       " 'esa',\n",
       " 'esas',\n",
       " 'ese',\n",
       " 'eso',\n",
       " 'esos',\n",
       " 'esta',\n",
       " 'estaba',\n",
       " 'estabais',\n",
       " 'estaban',\n",
       " 'estabas',\n",
       " 'estad',\n",
       " 'estada',\n",
       " 'estadas',\n",
       " 'estado',\n",
       " 'estados',\n",
       " 'estamos',\n",
       " 'estando',\n",
       " 'estar',\n",
       " 'estaremos',\n",
       " 'estará',\n",
       " 'estarán',\n",
       " 'estarás',\n",
       " 'estaré',\n",
       " 'estaréis',\n",
       " 'estaría',\n",
       " 'estaríais',\n",
       " 'estaríamos',\n",
       " 'estarían',\n",
       " 'estarías',\n",
       " 'estas',\n",
       " 'este',\n",
       " 'estemos',\n",
       " 'esto',\n",
       " 'estos',\n",
       " 'estoy',\n",
       " 'estuve',\n",
       " 'estuviera',\n",
       " 'estuvierais',\n",
       " 'estuvieran',\n",
       " 'estuvieras',\n",
       " 'estuvieron',\n",
       " 'estuviese',\n",
       " 'estuvieseis',\n",
       " 'estuviesen',\n",
       " 'estuvieses',\n",
       " 'estuvimos',\n",
       " 'estuviste',\n",
       " 'estuvisteis',\n",
       " 'estuviéramos',\n",
       " 'estuviésemos',\n",
       " 'estuvo',\n",
       " 'está',\n",
       " 'estábamos',\n",
       " 'estáis',\n",
       " 'están',\n",
       " 'estás',\n",
       " 'esté',\n",
       " 'estéis',\n",
       " 'estén',\n",
       " 'estés',\n",
       " 'fue',\n",
       " 'fuera',\n",
       " 'fuerais',\n",
       " 'fueran',\n",
       " 'fueras',\n",
       " 'fueron',\n",
       " 'fuese',\n",
       " 'fueseis',\n",
       " 'fuesen',\n",
       " 'fueses',\n",
       " 'fui',\n",
       " 'fuimos',\n",
       " 'fuiste',\n",
       " 'fuisteis',\n",
       " 'fuéramos',\n",
       " 'fuésemos',\n",
       " 'ha',\n",
       " 'habida',\n",
       " 'habidas',\n",
       " 'habido',\n",
       " 'habidos',\n",
       " 'habiendo',\n",
       " 'habremos',\n",
       " 'habrá',\n",
       " 'habrán',\n",
       " 'habrás',\n",
       " 'habré',\n",
       " 'habréis',\n",
       " 'habría',\n",
       " 'habríais',\n",
       " 'habríamos',\n",
       " 'habrían',\n",
       " 'habrías',\n",
       " 'habéis',\n",
       " 'había',\n",
       " 'habíais',\n",
       " 'habíamos',\n",
       " 'habían',\n",
       " 'habías',\n",
       " 'han',\n",
       " 'has',\n",
       " 'hasta',\n",
       " 'hay',\n",
       " 'haya',\n",
       " 'hayamos',\n",
       " 'hayan',\n",
       " 'hayas',\n",
       " 'hayáis',\n",
       " 'he',\n",
       " 'hemos',\n",
       " 'hube',\n",
       " 'hubiera',\n",
       " 'hubierais',\n",
       " 'hubieran',\n",
       " 'hubieras',\n",
       " 'hubieron',\n",
       " 'hubiese',\n",
       " 'hubieseis',\n",
       " 'hubiesen',\n",
       " 'hubieses',\n",
       " 'hubimos',\n",
       " 'hubiste',\n",
       " 'hubisteis',\n",
       " 'hubiéramos',\n",
       " 'hubiésemos',\n",
       " 'hubo',\n",
       " 'la',\n",
       " 'las',\n",
       " 'le',\n",
       " 'les',\n",
       " 'lo',\n",
       " 'los',\n",
       " 'me',\n",
       " 'mi',\n",
       " 'mis',\n",
       " 'mucho',\n",
       " 'muchos',\n",
       " 'muy',\n",
       " 'más',\n",
       " 'mí',\n",
       " 'mía',\n",
       " 'mías',\n",
       " 'mío',\n",
       " 'míos',\n",
       " 'nada',\n",
       " 'ni',\n",
       " 'no',\n",
       " 'nos',\n",
       " 'nosotras',\n",
       " 'nosotros',\n",
       " 'nuestra',\n",
       " 'nuestras',\n",
       " 'nuestro',\n",
       " 'nuestros',\n",
       " 'o',\n",
       " 'os',\n",
       " 'otra',\n",
       " 'otras',\n",
       " 'otro',\n",
       " 'otros',\n",
       " 'para',\n",
       " 'pero',\n",
       " 'poco',\n",
       " 'por',\n",
       " 'porque',\n",
       " 'que',\n",
       " 'quien',\n",
       " 'quienes',\n",
       " 'qué',\n",
       " 'se',\n",
       " 'sea',\n",
       " 'seamos',\n",
       " 'sean',\n",
       " 'seas',\n",
       " 'sentid',\n",
       " 'sentida',\n",
       " 'sentidas',\n",
       " 'sentido',\n",
       " 'sentidos',\n",
       " 'seremos',\n",
       " 'será',\n",
       " 'serán',\n",
       " 'serás',\n",
       " 'seré',\n",
       " 'seréis',\n",
       " 'sería',\n",
       " 'seríais',\n",
       " 'seríamos',\n",
       " 'serían',\n",
       " 'serías',\n",
       " 'seáis',\n",
       " 'siente',\n",
       " 'sin',\n",
       " 'sintiendo',\n",
       " 'sobre',\n",
       " 'sois',\n",
       " 'somos',\n",
       " 'son',\n",
       " 'soy',\n",
       " 'su',\n",
       " 'sus',\n",
       " 'suya',\n",
       " 'suyas',\n",
       " 'suyo',\n",
       " 'suyos',\n",
       " 'sí',\n",
       " 'también',\n",
       " 'tanto',\n",
       " 'te',\n",
       " 'tendremos',\n",
       " 'tendrá',\n",
       " 'tendrán',\n",
       " 'tendrás',\n",
       " 'tendré',\n",
       " 'tendréis',\n",
       " 'tendría',\n",
       " 'tendríais',\n",
       " 'tendríamos',\n",
       " 'tendrían',\n",
       " 'tendrías',\n",
       " 'tened',\n",
       " 'tenemos',\n",
       " 'tenga',\n",
       " 'tengamos',\n",
       " 'tengan',\n",
       " 'tengas',\n",
       " 'tengo',\n",
       " 'tengáis',\n",
       " 'tenida',\n",
       " 'tenidas',\n",
       " 'tenido',\n",
       " 'tenidos',\n",
       " 'teniendo',\n",
       " 'tenéis',\n",
       " 'tenía',\n",
       " 'teníais',\n",
       " 'teníamos',\n",
       " 'tenían',\n",
       " 'tenías',\n",
       " 'ti',\n",
       " 'tiene',\n",
       " 'tienen',\n",
       " 'tienes',\n",
       " 'todo',\n",
       " 'todos',\n",
       " 'tu',\n",
       " 'tus',\n",
       " 'tuve',\n",
       " 'tuviera',\n",
       " 'tuvierais',\n",
       " 'tuvieran',\n",
       " 'tuvieras',\n",
       " 'tuvieron',\n",
       " 'tuviese',\n",
       " 'tuvieseis',\n",
       " 'tuviesen',\n",
       " 'tuvieses',\n",
       " 'tuvimos',\n",
       " 'tuviste',\n",
       " 'tuvisteis',\n",
       " 'tuviéramos',\n",
       " 'tuviésemos',\n",
       " 'tuvo',\n",
       " 'tuya',\n",
       " 'tuyas',\n",
       " 'tuyo',\n",
       " 'tuyos',\n",
       " 'tú',\n",
       " 'un',\n",
       " 'una',\n",
       " 'uno',\n",
       " 'unos',\n",
       " 'vosotras',\n",
       " 'vosotros',\n",
       " 'vuestra',\n",
       " 'vuestras',\n",
       " 'vuestro',\n",
       " 'vuestros',\n",
       " 'y',\n",
       " 'ya',\n",
       " 'yo',\n",
       " 'él',\n",
       " 'éramos'}"
      ]
     },
     "metadata": {},
     "execution_count": 7
    }
   ],
   "source": [
    "import nltk\n",
    "nltk.download('stopwords')\n",
    "from nltk.corpus import stopwords\n",
    "\n",
    "swSpanish = set(stopwords.words('spanish'))\n",
    "swSpanish"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ahora es necesario \"filtrar\" las palabras que están en nuestra lista de stopwords:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "palabras  = texto.split()\n",
    "palabrasLimpias = [p for p in palabras if not(p in swSpanish)]\n",
    "cuentoLimpio = ' '.join(palabrasLimpias)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "558\n293\nvez dulce niña quería madre abuela. ayudaba podía tan buena día cumpleaños abuela regaló caperuza roja. gustaba iba todas partes, pronto empezaron llamarla caperucita roja. día abuela caperucita, vivía bosque, enfermó madre caperucita pidió llevara cesta torta tarro mantequilla. caperucita aceptó encantada. - ten cuidado caperucita, entretengas bosque. - ¡sí mamá! niña caminaba tranquilamente bosque lobo vio acercó ella. - ¿dónde vas caperucita? - casa abuelita llevarle cesta torta mantequilla. - quería ir verla…. así que, ¿por hacemos carrera? ve camino aquí iré otro. - ¡vale! lobo mandó caperucita camino largo llegó casa abuelita. modo hizo pasar pequeña llamó puerta. aunque sabía cazador visto llegar. - ¿quién es?, contestó abuelita - yo, caperucita - dijo lobo - bien hija mía. pasa, pasa lobo entró, abalanzó abuelita comió bocado. puso camisón metió cama esperar llegara caperucita. pequeña entretuvo bosque cogiendo avellanas flores tardó llegar más. llegar llamó puerta. - ¿quién es?, contestó lobo tratando afinar voz - yo, caperucita. traigo torta tarrito mantequilla. - bien hija mía. pasa, pasa caperucita entró encontró diferente abuelita, aunque supo bien porqué. - ¡abuelita, ojos grandes tienes! - sí, verte mejor hija - ¡abuelita, orejas tan grandes tienes! - claro, oírte mejor… - abuelita, ¡qué dientes grandes tienes! - ¡¡son comerte mejor!! cuanto dijo lobo lanzó caperucita comió también. estómago tan lleno lobo quedó dormido. momento cazador visto entrar casa abuelita comenzó preocuparse. pasado rato tratándose lobo…¡dios sabía podía haber pasado! modo entró dentro casa. llegó allí vio lobo panza hinchada imaginó ocurrido, así cogió cuchillo abrió tripa animal sacar caperucita abuelita. - darle buen castigo lobo, pensó cazador. modo llenó tripa piedras volvió coser. lobo despertó siesta mucha sed acercarse río, ¡zas! cayó dentro ahogó. caperucita volvió ver madre abuelita entonces prometió hacer siempre caso dijera madre.\n"
     ]
    }
   ],
   "source": [
    "print(len(palabras))\n",
    "print(len(palabrasLimpias))\n",
    "print(cuentoLimpio)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finalmente, usamos nuevamente la biblioteca **wordcloud** y generamos la nube de palabras que le corresponde al texto."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "nubeCaperucita = wordcloud.WordCloud()\n",
    "nubeCaperucita.generate(cuentoLimpio)\n",
    "nubeCaperucita.to_image()\n",
    "plt.imshow(nubeCaperucita)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ejercicio"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Guarda un texto que quieras analizar (un discurso, otro cuento, un ensayo) en un archivo de texto. Utiliza Python para generar una nube de palabras asociada al texto. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Escribe aquí tu código\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## II. Detección de temas usando LDA\n",
    "\n",
    "Después de usar una herramienta que nos permite visualizar nuestros datos, vamos a explorar el uso de métodos más sofisticados. \n",
    "\n",
    "En este sección vamos a usar un conjunto de datos que corresponde a 2225 artículos de noticias en inglés publicados por la BBC (*British Broadcasting Corporation*). Cada documento corresponde a una nota periodística completa.\n",
    "\n",
    "Para este ejercicio se han preprocesado los datos con la finalidad de eliminar signos de puntuación y dejar todos los textos usando sólo minúsculas. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "tv future in the hands of viewers with home theatre systems  plasma highdefinition tvs  and digital video recorders moving into the living room  the way people watch tv will be radically different in five years  time  that is according to an expert panel which gathered at the annual consumer electronics show in las vegas to discuss how these new technologies will impact one of our favourite pastimes with the us leading the trend  programmes and other content will be delivered to viewers via home networks  through cable  satellite  telecoms companies  and broadband service providers to front rooms and portable devices  one of the most talkedabout technologies of ces has been digital and personal video recorders dvr and pvr these settop boxes  like the us s tivo and the uk s sky system  allow people to record  store  play  pause and forward wind tv programmes when they want  essentially  the technology allows for much more personalised tv they are also being builtin to highdefinition tv sets  which are big business in japan and the us  but slower to take off in europe because of the lack of highdefinition programming not only can people forward wind through adverts  they can also forget about abiding by network and channel schedules  putting together their own alacarte entertainment but some us networks and cable and satellite companies are worried about what it means for them in terms of advertising revenues as well as  brand identity  and viewer loyalty to channels although the us leads in this technology at the moment  it is also a concern that is being raised in europe  particularly with the growing uptake of services like sky  what happens here today  we will see in nine months to a years  time in the uk   adam hume  the bbc broadcast s futurologist told the bbc news website for the likes of the bbc  there are no issues of lost advertising revenue yet it is a more pressing issue at the moment for commercial uk broadcasters  but brand loyalty is important for everyone  we will be talking more about content brands rather than network brands   said tim hanlon  from brand communications firm starcom mediavest  the reality is that with broadband connections  anybody can be the producer of content  he added  the challenge now is that it is hard to promote a programme with so much choice   what this means  said stacey jolna  senior vice president of tv guide tv group  is that the way people find the content they want to watch has to be simplified for tv viewers it means that networks  in us terms  or channels could take a leaf out of google s book and be the search engine of the future  instead of the scheduler to help people find what they want to watch this kind of channel model might work for the younger ipod generation which is used to taking control of their gadgets and what they play on them but it might not suit everyone  the panel recognised older generations are more comfortable with familiar schedules and channel brands because they know what they are getting they perhaps do not want so much of the choice put into their hands  mr hanlon suggested  on the other end  you have the kids just out of diapers who are pushing buttons already  everything is possible and available to them   said mr hanlon  ultimately  the consumer will tell the market they want   of the 50 000 new gadgets and technologies being showcased at ces  many of them are about enhancing the tvwatching experience highdefinition tv sets are everywhere and many new models of lcd liquid crystal display tvs have been launched with dvr capability built into them  instead of being external boxes one such example launched at the show is humax s 26inch lcd tv with an 80hour tivo dvr and dvd recorder one of the us s biggest satellite tv companies  directtv  has even launched its own branded dvr at the show with 100hours of recording capability  instant replay  and a search function the set can pause and rewind tv for up to 90 hours and microsoft chief bill gates announced in his preshow keynote speech a partnership with tivo  called tivotogo  which means people can play recorded programmes on windows pcs and mobile devices all these reflect the increasing trend of freeing up multimedia so that people can watch what they want  when they want\n\n"
     ]
    }
   ],
   "source": [
    "with open('data/cleanBBC.txt','r') as f:\n",
    "    textos = f.readlines()\n",
    "print(textos[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Usando la biblioteca **sklearn** transformamos nuestro conjunto de documentos a una matriz documento-término. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "(2225, 32442)"
      ]
     },
     "metadata": {},
     "execution_count": 13
    }
   ],
   "source": [
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "import numpy as np\n",
    "\n",
    "creadorDeMatriz = CountVectorizer(stop_words='english')\n",
    "matrizTextos =  creadorDeMatriz.fit_transform(textos)\n",
    "\n",
    "matrizTextos.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para usar LDA basta con emplear la implementación también incluida en **sklearn**. Es importante especificar la cantidad de temas y de palabras que consideraremos relevantes por tema. Estos parámetros dependen del usuario y del conocimiento que se tenga de los datos. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "LatentDirichletAllocation(n_components=5)"
      ]
     },
     "metadata": {},
     "execution_count": 14
    }
   ],
   "source": [
    "from sklearn.decomposition import LatentDirichletAllocation as LDA\n",
    "\n",
    "temas = 5\n",
    "palabras = 10\n",
    "\n",
    "lda = LDA(n_components = temas)\n",
    "lda.fit(matrizTextos)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "El resultado del método que tiene sklearn es una matriz que puede ser difícil de interpretar:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "array([[6.16036239e+00, 3.79054936e+01, 2.00000232e-01, ...,\n",
       "        1.19553222e+00, 2.05749113e-01, 2.17798451e+00],\n",
       "       [2.00122042e-01, 1.86692043e+02, 2.00000209e-01, ...,\n",
       "        2.00000518e-01, 2.00000295e-01, 2.00000805e-01],\n",
       "       [2.00451701e-01, 2.25811110e+02, 2.00000184e-01, ...,\n",
       "        2.00000402e-01, 2.00000263e-01, 2.00000681e-01],\n",
       "       [2.02474555e-01, 1.18304252e+02, 2.00000241e-01, ...,\n",
       "        2.02792845e-01, 2.00000398e-01, 2.22013330e-01],\n",
       "       [1.23658931e+00, 2.25287101e+02, 1.19999913e+00, ...,\n",
       "        2.01674011e-01, 4.19424993e+00, 2.00000674e-01]])"
      ]
     },
     "metadata": {},
     "execution_count": 15
    }
   ],
   "source": [
    "lda.components_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para ayudarnos a interpretar los resultados obtenidos vamos a implementar una función personalizada. De entrada, esta función necesitará conocer el modelo LDA, el modelo de la matriz término-documento y la cantidad de temas y palabras que consideramos en la construcción de nuestro resultado. \n",
    "\n",
    "La salida de la función será una lista con textos compuestos por las palabras más relevantes de cada tema identificado en la colección"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "def verPalabrasClave(modelo,modeloVectorial,cantTemas,cantPalabras):\n",
    "    palabras = modeloVectorial.get_feature_names()\n",
    "    palabrasPorTema = []\n",
    "    \n",
    "    for i in range(cantTemas):\n",
    "        tema = modelo.components_[i]\n",
    "        ordenarPalabras = tema.argsort()\n",
    "        topPalabras = [palabras[i] for i in ordenarPalabras[-cantPalabras:]]\n",
    "        conjuntoPalabras = \" \".join(topPalabras)\n",
    "        palabrasPorTema.append(conjuntoPalabras)\n",
    "        \n",
    "        print('\\n Tema ' + str(i+1)+' identificado: \\n')\n",
    "        print(conjuntoPalabras)\n",
    "    \n",
    "    return palabrasPorTema"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ahora sí, usando la función definida podemos ver las palabras clave identificadas para cada tema en la colección. ¿Puedes deducir el tema de cada grupo a partir de las palabras?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "\n Tema 1 identificado: \n\nireland just cup players time win play england said game\n\n Tema 2 identificado: \n\nnet use digital users mobile music new technology people said\n\n Tema 3 identificado: \n\neconomy market world new growth company government year mr said\n\n Tema 4 identificado: \n\nnumber director won award awards new year best film said\n\n Tema 5 identificado: \n\nminister new blair party election people government labour mr said\n"
     ]
    }
   ],
   "source": [
    "palabrasPorTema =  verPalabrasClave(lda,creadorDeMatriz,temas, palabras)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finalmente, podemos combinar estos resultados con las nubes de palabras que usamos en la sección anterior. Así, podríamos obtener una nube para cada tema en la colección."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "nubeTema1 = wordcloud.WordCloud()\n",
    "nubeTema1.generate(palabrasPorTema[0])\n",
    "nubeTema1.to_image()\n",
    "plt.imshow(nubeTema1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## III. Exploración de una base de datos en ciencia\n",
    "En esta última sección se explorará una colección de abstracts de 7241 artículos científicos publicados en los últimos años sobre el tema de redes neuronales. \n",
    "\n",
    "Considerando que Python cuenta con bibliotecas que permiten descargar este tipo de información directamente de grandes bases de datos (web of science, ieee, etc.) este ejemplo ilustra una tarea que podría ser relevante para las ciencias de la información, específicamente para estudiar la evolución que ha tenido cierto tema de investigación.\n",
    "\n",
    "Adicionalmente, usaremos el ejercicio para familiarizarnos con la biblioteca **pandas**.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Uso de pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>year</th>\n",
       "      <th>title</th>\n",
       "      <th>event_type</th>\n",
       "      <th>pdf_name</th>\n",
       "      <th>abstract</th>\n",
       "      <th>paper_text</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1987</td>\n",
       "      <td>Self-Organization of Associative Database and ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1-self-organization-of-associative-database-an...</td>\n",
       "      <td>Abstract Missing</td>\n",
       "      <td>767\\n\\nSELF-ORGANIZATION OF ASSOCIATIVE DATABA...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10</td>\n",
       "      <td>1987</td>\n",
       "      <td>A Mean Field Theory of Layer IV of Visual Cort...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10-a-mean-field-theory-of-layer-iv-of-visual-c...</td>\n",
       "      <td>Abstract Missing</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100</td>\n",
       "      <td>1988</td>\n",
       "      <td>Storing Covariance by the Associative Long-Ter...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100-storing-covariance-by-the-associative-long...</td>\n",
       "      <td>Abstract Missing</td>\n",
       "      <td>394\\n\\nSTORING COVARIANCE BY THE ASSOCIATIVE\\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1000</td>\n",
       "      <td>1994</td>\n",
       "      <td>Bayesian Query Construction for Neural Network...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1000-bayesian-query-construction-for-neural-ne...</td>\n",
       "      <td>Abstract Missing</td>\n",
       "      <td>Bayesian Query Construction for Neural\\nNetwor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1001</td>\n",
       "      <td>1994</td>\n",
       "      <td>Neural Network Ensembles, Cross Validation, an...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1001-neural-network-ensembles-cross-validation...</td>\n",
       "      <td>Abstract Missing</td>\n",
       "      <td>Neural Network Ensembles, Cross\\nValidation, a...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     id  year                                              title event_type  \\\n",
       "0     1  1987  Self-Organization of Associative Database and ...        NaN   \n",
       "1    10  1987  A Mean Field Theory of Layer IV of Visual Cort...        NaN   \n",
       "2   100  1988  Storing Covariance by the Associative Long-Ter...        NaN   \n",
       "3  1000  1994  Bayesian Query Construction for Neural Network...        NaN   \n",
       "4  1001  1994  Neural Network Ensembles, Cross Validation, an...        NaN   \n",
       "\n",
       "                                            pdf_name          abstract  \\\n",
       "0  1-self-organization-of-associative-database-an...  Abstract Missing   \n",
       "1  10-a-mean-field-theory-of-layer-iv-of-visual-c...  Abstract Missing   \n",
       "2  100-storing-covariance-by-the-associative-long...  Abstract Missing   \n",
       "3  1000-bayesian-query-construction-for-neural-ne...  Abstract Missing   \n",
       "4  1001-neural-network-ensembles-cross-validation...  Abstract Missing   \n",
       "\n",
       "                                          paper_text  \n",
       "0  767\\n\\nSELF-ORGANIZATION OF ASSOCIATIVE DATABA...  \n",
       "1  683\\n\\nA MEAN FIELD THEORY OF LAYER IV OF VISU...  \n",
       "2  394\\n\\nSTORING COVARIANCE BY THE ASSOCIATIVE\\n...  \n",
       "3  Bayesian Query Construction for Neural\\nNetwor...  \n",
       "4  Neural Network Ensembles, Cross\\nValidation, a...  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "\n",
    "papers = pd.read_csv('data/papers.csv') # leer directamente el archivo\n",
    "papers.head() # mostrar las primeras filas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No todas las columnas son de nuestro interés. Vamos a eliminar tres que no nos interesan. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>Storing Covariance by the Associative Long-Ter...</td>\n",
       "      <td>Abstract Missing</td>\n",
       "      <td>394\\n\\nSTORING COVARIANCE BY THE ASSOCIATIVE\\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1994</td>\n",
       "      <td>Bayesian Query Construction for Neural Network...</td>\n",
       "      <td>Abstract Missing</td>\n",
       "      <td>Bayesian Query Construction for Neural\\nNetwor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1994</td>\n",
       "      <td>Neural Network Ensembles, Cross Validation, an...</td>\n",
       "      <td>Abstract Missing</td>\n",
       "      <td>Neural Network Ensembles, Cross\\nValidation, a...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year                                              title          abstract  \\\n",
       "0  1987  Self-Organization of Associative Database and ...  Abstract Missing   \n",
       "1  1987  A Mean Field Theory of Layer IV of Visual Cort...  Abstract Missing   \n",
       "2  1988  Storing Covariance by the Associative Long-Ter...  Abstract Missing   \n",
       "3  1994  Bayesian Query Construction for Neural Network...  Abstract Missing   \n",
       "4  1994  Neural Network Ensembles, Cross Validation, an...  Abstract Missing   \n",
       "\n",
       "                                          paper_text  \n",
       "0  767\\n\\nSELF-ORGANIZATION OF ASSOCIATIVE DATABA...  \n",
       "1  683\\n\\nA MEAN FIELD THEORY OF LAYER IV OF VISU...  \n",
       "2  394\\n\\nSTORING COVARIANCE BY THE ASSOCIATIVE\\n...  \n",
       "3  Bayesian Query Construction for Neural\\nNetwor...  \n",
       "4  Neural Network Ensembles, Cross\\nValidation, a...  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "papers = papers.drop(columns = ['id', 'event_type', 'pdf_name'], axis=1)\n",
    "papers.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Visualización de datos\n",
    "\n",
    "Para darnos una idea de la relevancia que ha tomado el tema de redes neuronales en los últimos años, nos apoyaremos de una gráfica que nos \n",
    "permita visualizar la producción de trabajos sobre el tema, año por año:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 277,
       "width": 375
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.colors as colors\n",
    "from matplotlib import cm\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "\n",
    "grupos = papers.groupby('year')\n",
    "contador = grupos.size()\n",
    "\n",
    "esquemaColor = cm.get_cmap('jet')\n",
    "colorPorConteo = map(esquemaColor, contador/float(max(contador)))\n",
    "\n",
    "contador.plot(kind = 'bar',color=colorPorConteo)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Detección de temas principales en la colección\n",
    "\n",
    "Para poder usar LDA, necesitamos pre-procesar nuestros datos. Específicamente, es necesario limpiar los textos correspondientes al abstract, que aparecen en la columna \"paper_text\". \n",
    "\n",
    "Primero eliminaremos los signos de puntuación:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "papers['textoLimpio'] = papers['paper_text'].map(lambda x: re.sub(r'[^\\w]', ' ', x))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Después, vamos a asegurarnos de sólo incluír letras minúsculas:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    767  self organization of associative database...\n",
      "1    683  a mean field theory of layer iv of visual...\n",
      "2    394  storing covariance by the associative lon...\n",
      "3    bayesian query construction for neural network...\n",
      "4    neural network ensembles  cross validation  an...\n",
      "Name: textoLimpio, dtype: object\n"
     ]
    }
   ],
   "source": [
    "papers['textoLimpio'] = papers['textoLimpio'].map(lambda x: x.lower())\n",
    "print(papers['textoLimpio'].head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dependiendo del poder de cómputo del equipo que estemos utilizando, podría ser interesante generar la nube de palabras de la colección completa.  Nota que esto podría consumir mucho tiempo, pues estamos lidiando con miles de documentos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "#long_string = ' '.join(x for x in papers['textoLimpio'])\n",
    "#wordcloud = wordcloud.WordCloud()\n",
    "#wordcloud.generate(long_string)\n",
    "#wordcloud.to_image()\n",
    "#plt.imshow(wordcloud)\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finalmente, construimos la matriz término-documento correspondiente a nuestra colección y utilizamos LDA como lo hicimos en la sección anterior. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "creadorMatriz = CountVectorizer(stop_words='english')\n",
    "M_textos = creadorMatriz.fit_transform(papers['textoLimpio'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7241, 233196)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "M_textos.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "temas = 5\n",
    "palabras = 10\n",
    "\n",
    "lda = LDA(n_components = temas)\n",
    "lda.fit(M_textos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " Tema 1 identificado: \n",
      "\n",
      "bound log let matrix theorem set problem function learning algorithm\n",
      "\n",
      " Tema 2 identificado: \n",
      "\n",
      "value neural action model function policy network time state learning\n",
      "\n",
      " Tema 3 identificado: \n",
      "\n",
      "data 10 information neurons input figure network time neural model\n",
      "\n",
      " Tema 4 identificado: \n",
      "\n",
      "data neural networks deep image using model 10 training learning\n",
      "\n",
      " Tema 5 identificado: \n",
      "\n",
      "figure number learning distribution 10 using set models model data\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['bound log let matrix theorem set problem function learning algorithm',\n",
       " 'value neural action model function policy network time state learning',\n",
       " 'data 10 information neurons input figure network time neural model',\n",
       " 'data neural networks deep image using model 10 training learning',\n",
       " 'figure number learning distribution 10 using set models model data']"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "verPalabrasClave(lda,creadorMatriz,temas,palabras)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Aunque tenemos las palabras claves, identificar correctamente los temas de la colección requiere conocimiento especializado sobre redes neuronales. Al final, Python y todas sus bibliotecas sólo pueden ayudarnos a manejar de manera más eficiente nuestra exploración de los datos, pero obtener  conclusiones al respecto y generar hipótesis de trabajo relevantes es una tarea del especialista."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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 },
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