Sentiment Analysis with Twitter Streamer

Sentiment Anaylysis of Movie Reviews using Naive Bayesian & AFINN Classifier and streaming Tweets using Nodejs,Express,socket.io in backend,MongoDb as Database,AngularJs in frontend without using third-party module for authorization.

##Features

• Sentiment Anaylysis of Movie Reviews using Naive Bayesian & AFINN Classifier

  • Dataset : http://www.cs.cornell.edu/people/pabo/movie-review-data
  • 5331 positive snippets & 5331 negative snippets with 80% Accuracy

• Browser : Fetch Any Url Content

• Github : Fetch Github Repositories of any User

• Twitter : Get Streaming Tweets on Searched Keyword

• Implemented OAuth Encryption: auth.js

  • https://dev.twitter.com/oauth/overview/authorizing-requests

  • https://dev.twitter.com/oauth/overview/creating-signatures

    • parameters are sorted and percent encoded => get parameter string
    • get signature base string using url,method & parameter string
    • get signature HMAC-SHA1 encoded using signature base string.

• Implemented Naive Bayesian Classifier in JS : NB.js and stopwords.js

  • Multinomial NB Model : http://nlp.stanford.edu/IR-book/html/htmledition/naive-bayes-text-classification-1.html

• Implemented AFINN Classifier in JS : afinnClassifier.js

##Configuration

• Download and Install Node : http://nodejs.org

• Download and Install mongodb : http://mongodb.org

• Make directories for Mongodb data C:\data\db

• Clone this repository using Git Bash:

	git clone https://github.com/aqfaridi/Sentiment-Analysis-Twitter-Streamer.git

• Navigate to cloned directory, Update config.json with your developers twitter tokens.

  • Go to http://dev.twitter.com
  • navigate to manage your app in footer http://apps.twitter.com
  • Create new app, Fill up information asked
  • Go to keys & access tokens tab, generate access token
  • Twitter application key:consumer key & secret are application specific to make api calls

• open cmd prompt: Install all dependencies :

	npm install express 
	npm install body-parser 
	npm install crypto
	npm install ejs
	npm install mongodb
	npm install socket.io  

• Run Mongo Server

	mongod

• Run Node Server

	node app

• Goto Browser :

	http://localhost:8000