#Project of Sentiment Analysis for the course of Big Data Analysis of the Department of Computer Engineering of Modena and Reggio Emilia.#

##Library used in the project##

• Tweepy - https://github.com/tweepy/tweepy

• Natural Language Toolkit - http://nltk.org/install.html

To install additional modules and datasource (Wordnet and other modules are required) launch the following command on a python shell:

import nltk
nltk.download()

Download the followings modules:

• Stopword
• Wordnet
• Wordnet_ic
• All the modules in models

##Project usage##

###Tweet###

The script named ExtractTweet.py can be used to download tweets in a csv file. This script is configurable by this file: config.json

The configurable fields are:

• consumer_key
• consumer_secret
• access_token
• access_token_secret

These fields can be retrieved from https://dev.twitter.com after creating an account and an application

• file_name (name of the cvs output file)
• count (number of tweet to download)
• filter (a word used to filter the tweet in output)

The CSV file produced in output can be used as arg of the other three script:

• DeriveTweetSentimentEasy.py: This script uses AFINN-111.txt as vocabulary to try to assign a sentiment score to a tweet.
• NewTermSentimentInference.py: This script try to assign a sentiment score to the words that are not present in AFINN-111.txt based on the sentiment score of a group of tweets.
• SentiWordnet.py: This script uses SentiWordNet as vocabulary to try to assign a sentiment score to a tweet. The metrics of the scoring and the annotation process are more complex in this script.

###Document Sentiment Classification###

The script is called DocumentSentimentClassification.py and implements a simple method for document sentiment classification. it possible to set some configuration parameters in the top of Python script:

• FILE_NAME -> name of the file .txt on which you want execute the classification
• API_KEY_BING -> Api Key Bing [http://it.bing.com/dev/en-us/dev-center](Bing Dev)
• API_KEY_GOOGLE -> Api Key for Custom Search Api [https://cloud.google.com/console](Google Api Console)
• USE_GOOGLE -> Enable (True) or Disable (False) the use of the Google Api for Custom Search ( 100 query for day without have to pay )

ipython

For an interactive example with ipython, go into the folder BDA_Senti_ipython and launch the command:

$ ipython notebook --pylab inline

###Slides###