Opinion Mining and Sentiment Study of Tweets Polarity Using Machine Learning

被引:0
|
作者
Mridula, A. [1 ]
Kavitha, C. R. [1 ]
机构
[1] Amrita Vishwa Vidyapeetham, Amrita Sch Engn, Dept Comp Sci & Engn, Bengaluru, India
关键词
Text Analytics; Twitter; Feature Extraction; Tweets; Machine Learning; Sentiment Analysis;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Sentiment analysis with opinion mining is an aspect of Text Analytics under the branch of Data Mining. We might be surprised to know that it plays an influential role in our daily lives. For instance, the decisions made over picking up a tooth paste, or in buying a car. Many aspects of human behaviour are exploited by targeted advertising, the directions to which are arrived at based on sentiment analysis techniques. The decisions are made over a large array of data called dataset. The proposed work involves analysis of tweets on the hashtag Make in India, an initiative by Mr. Narendra Modi, Prime Minister of India. Here the tweets act as the dataset. The tweets are collected, cleaned, filtered which is known as pre-processing. Then the features are extracted and selected for the analysis. The classification, evaluation and visualization are carried out using machine learning techniques. 'R Studio' is used for implementation and analysis in this work.
引用
收藏
页码:621 / 626
页数:6
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