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Implementation of Subjectivity and Clues Classifications in Sentiment Analysis of Philippine Restaurants Reviews in Twitter using Mutinomial Naive Bayes and Support Vector Classifiers

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Sentiment Analyzer of Philippine Restaurants Reviews in Twitter

This is a system developed to find the positivity and negativity of Philippine restaurants reviews that have been written in tweet form, with additional features like Subjectivity and Clues Classifications.

Installation

Clone this repo:

$ git clone http://github.com/arkeidolon/sarprit

And install Python 3.4 along with the following dependencies:

  • django 1.7
  • dj-static
  • dj-database-url
  • psycopg2
  • gunicorn
  • static 0.4
  • wsgiref 0.1.2
  • tweepy
  • nltk
  • numpy 1.8.1
  • scipy 0.14.0
  • scikit-learn 0.14.1

Pip install

$ pip install -r requirements.txt

Windows Installers

How to use

Copy the provided database to the root folder of the project and run the server using:

$ cd sarprit
$ python manage.py runserver

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Implementation of Subjectivity and Clues Classifications in Sentiment Analysis of Philippine Restaurants Reviews in Twitter using Mutinomial Naive Bayes and Support Vector Classifiers

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