International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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Sentiment Analysis Using Machine Learning Technique

Shital Shivshankar Durudakar, Prof. Tarun Yengantiwar

Abstract :

Various machine learning algorithms for sentiment analysis are discussed in this study. Machine learning classifiers such as Naive Bayes, Decision Tree, Random Forest, Support Vector Machine, KNN, and deep learning classifiers were used to analyze sentiment. We notice some articles in this section that are assisting young investigators in determining the best path for further study. Various social networking sites, E-commerce sites like Amazon and social media like Facebook, Twitter, and Instagram is popular platforms for users to express their views on many topics. Sentiment analysis employs a machine learning approach and provides a precise assessment of peoples feelings without the need for human intervention. The Sentiment analysis divides the text into three categories; positive, negative, and neutral. As a result, any corporation, institution, an examiner can accept the public view and take action based on it.

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