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Text Mining

Exercises for the Text Mining course

  • 01 NLP whit NLTK
  • 02 Text classification whit Sklearn
  • 03 Word representations whit Gensim
  • 04 RNN whit Keras
    • Sentiment model
    • Word tagging
  • 99 Homework

Anaconda environment

1.- Install anaconda3 last version. All default options.

2.- Start an Anaconda terminal and execute...

# Install jupyter extensions 
conda install anaconda-nb-extensions -c nb-conda

# Create environment and install text mining packages
conda create -n tm python=3.6
activate tm

conda install pip

conda install graphviz
conda install pandas scikit-learn
conda install -c anaconda jupyter 
conda install matplotlib
conda install pillow 
conda install -c conda-forge spacy

# Spacy models (37.4Mb - 36.7Mb - 120.8Mb)
python -m spacy download en
python -m spacy download es
python -m spacy download en_core_web_md

pip install --upgrade gensim
pip install h5py
pip install pydot-ng
pip install nltk
pip install pyldavis

pip install --ignore-installed --upgrade tensorflow 

Download the next linguistic resources from the web and unzip in the data directory:

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