Abstract: With the rapid growth in users of social media in current years, their users get attracted to the use of social media data for sentiment analysis of people or a particular product or event. The word sentiments describe feelings like emotion or opinion. Sentiment analysis includes identifying how sentiments are expressed in texts and whether the expressions indicate positive or negative opinions toward the subject. An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people now can, and do, actively use information technologies to seek out and understand the opinions of others. Online shopping sites encourage users for posting reviews about products they purchase. Such reviews are useful for new users to make the decision about the product at the time of purchasing and for manufacturers of that product to make decisions about its production. Thus, sentiment analysis of product reviews is becoming popular in text mining and computational research. Social Media houses a vast amount of data that can be utilized for data mining. It has become an inseparable source that has been influencing the lifestyle of millions of people.
Keywords: sentiment analysis, opinion mining, social media, product safety, natural language processing
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DOI:
10.17148/IJARCCE.2022.11446
