A Detailed Sentiment Analysis Survey Based on Machine Learning Techniques

  • Neha Singh
    Department of ITCA, MMMUT, Gorakhpur, India, 273010 nehaitca[at]mmmut.ac.in
  • Umesh Chandra Jaiswal
    Department of ITCA, MMMUT, Gorakhpur, India, 273010


Sentiment analysis is a rapidly growing topic of research as a result of the tremendous growth of digital information. In the modern era of artificial intelligence, one of the most crucial technologies for obtaining sentiment data from the vast amounts of data is sentiment analysis. It refers to a procedure of finding and categorising the opinions expressed in a source text. Reaching a consensus regarding business decisions is made much easier by conducting a sentiment analysis on consumer data. Machine learning offers an efficient and trustworthy technique for sentiment categorization and opinion mining. State-of-art machine learning techniques and methodologies have evolved and expanded. In addition to summarising research articles based on movie reviews, product reviews, and Twitter reviews, this survey article covers sentiment analysis notations, needs, levels, methodologies, sources, and machine learning approaches and tools. This research aims to determine the significance of sentiment analysis and to generate interest in the subject.
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