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Publication Type : Conference Proceedings
Publisher : 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)
Source : 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT). 2018.
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2018
Abstract : 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.
Cite this Research Publication : A. Mridula and Kavitha C. R., “Opinion Mining and Sentiment Study of Tweets Polarity Using Machine Learning”, 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT). 2018.