Aspect and Emotion Classification of Restaurant Reviews

Authors: Mr. D. K. Kirange, Smt Shubhangi D Patil

Country: India

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Abstract: The “Sentiment Analysis” task focuses on the recognition and classification of emotions (positive, negative, conflict, neutral) in reviews for the aspect. In this paper we propose the system for recognizing and analyzing the sentiments using SVM for the restaurant dataset. Here we also apply the proposed system of text classification for identifying the aspect in the review sentences. We compare the performance of the system with well-known KNN, Naïve Bayes and Neural Network classifiers.

Keywords: Aspect, Sentiment Analysis, SVM, KNN, Naïve Bayes, Neural Network

Paper Id: 1582

Published On: 2014-08-02

Published In: Volume 2, Issue 4, July-August 2014

Cite This: Aspect and Emotion Classification of Restaurant Reviews - Mr. D. K. Kirange, Smt Shubhangi D Patil - IJIRMPS Volume 2, Issue 4, July-August 2014.

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