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Aspect and emotion classification of restaurant and laptop reviews using svm

Author:

Kirange, D. K. and Dr. Ratnadeep R. Deshmukh

Subject Area:

Physical Sciences and Engineering

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 and laptop review 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.

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