Sentiment Classification of Online Reviews Based on LDA and Semantic Analysis of Sentimental Words

2019 ◽  
Author(s):  
Yongxia Jing ◽  
Heping Gou ◽  
Chuanyi Fu ◽  
Wei Sun
Keyword(s):  
Semantic Analysis ◽  
Online Reviews ◽  
Sentiment Classification

scholarly journals Efficient Multilevel Polarity Sentiment Classification Algorithm using Support Vector Machine and Fuzzy Logic

2019 ◽  
Vol 8 (12) ◽  
pp. 5048-5051
Keyword(s):  
Support Vector Machine ◽  
Social Networking Sites ◽  
Fuzzy Inference ◽  
Learning Algorithm ◽  
Online Reviews ◽  
Sentiment Classification ◽  
Support Vector ◽  
Data Set ◽  
Inference System

This paper discusses an efficient algorithm for sentiment classification of online text reviews posted in social networking sites and blogs which are mostly in unstructured and ungrammatical in nature. Model proposed in this paper utilizes support vector machine supervised learning algorithm and fuzzy inference system for enhancing the degree of sentiment polarity of text reviews and providing multilevel polarity categories. Model is also able to predict degree of sentiment polarity of online reviews. The model accuracy is validated on twitter data set and compared with another earlier model.

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