A REVIEW ON SENTIMENT ANALYSIS USING JOINT SEGMENTATION AND CLASSIFICATION AS COMBINE FUNCTION.

Computer Engineering

Phrasal information is very important for Sentiment classification. Existing Approaches split a sentence as a word sequence, which does not effectively handle the inconsistent polarity between a phrase and the words it contains. To overcome this issue by developing joint segmentation and classification as a combine function. This Present Approach simultaneously generates useful segmentation and from that segmentation we can find polarity based on segmentation. A candidate Generation model to produce candidate of sentence. A segmentation Ranking model to give ranking to segmented candidates which gives usefulness of candidates for classification. Classification model is for predicting polarity of segmentation. This Method Performs better way and gives result, by using combine function.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.