CS365 Project: IDENTIFICATION OF CERTAIN EMOTIONS IN TEXT
Session: 2011-12-II Semester
Advisor: Prof. Amitabha Mukerjee
PRANJAL SINGH - 10511 - spranjal@iitk.ac.in------Homepage
DIVYANSHU BHARTIYA - 10250 - divbhar@iitk.ac.in------Homepage

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           Proposal               Presentation                 Report               Codes&Results

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ABSTRACT
We have developed a system that has the ability to analyse a text and identify some common possible emotions from it such as ANGER, HAPPINESS, FEAR, SADNESS, DISGUST and categorize the data on this basis.

Emotions have been widely studied in psychology and behavior sciences, as they are an important element of human nature. In this project we aim to identify certain basic emotions present in a text. We have used ISEAR corpus which contains sentences related to certain emotions, a PCFG parser and determind the weight of a sentiment and then tried to give weight to context with the help of PLSA algorithm which is basically a probabilistic method to determine the meaning behind the words. The results of the project are quite promising.