About this document

Twitter Sentiment Analysis Techniques by Shruti Jain is a document available to read on EtoBox.

This document summarizes research on sentiment analysis of Twitter data. The authors examine sentiment classification models including a unigram baseline, feature-based model, and tree kernel-based model. They introduce new features combining part-of-speech tags with prior word polarity scores. Experimental results show the feature-based and tree kernel models outperform the unigram baseline, and combining models further improves performance. The new Twitter sentiment analysis dataset and emotion/acronym re

Author

Shruti Jain

Language

EN