Sentiment-Analyzer

A small prototype for the research I have done on my final year project. The prototype has following workflow:

1. Take a sample text from user.
   
2. Remove stop words from the free text.
   
3. Read Negations from file.
   
4. Tokenize Text.
   
5. Find sentiment score using AFFIN and CSUIC dictionaries.
   
6. Normalize sentiment score.
   

For complete research, please visit [here] (http://thesai.org/Publications/ViewPaper?Volume=6&Issue=10&Code=IJACSA&SerialNo=34)
All pull requests are welcome