Abstract: As more people are expressing their views and opinions on various social websites there has been a surge of data generated by the users, these websites have people sharing their thoughts daily because of a short and simple form of expression. We can consider such type of data as a resource and performance sentiment analysis on data of various products and services to make better data-driven decisions. This paper highlights the use of sentiment analysis along with the type of data that is being analyzed, the complex process involved in analyzing the data, the different approaches that can be used, and an experimental observation using the Machine Learning approaches.
Keyterms: Machine Learning, sentiment analysis, Naive Bayes Classifier.
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DOI:
10.17148/IJARCCE.2022.114131
