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Research Paper | Computer Science & Engineering | India | Volume 12 Issue 2, February 2023 | Rating: 4.2 / 10
Sentiment Analysis: A Case Study for Apparel Brands - FABINDIA v/s BIBA
Syed Aqsa Ahmed
Abstract: Social media is now providing a platform for users to express their opinions, where users discuss various events, services, and brands. Company officials are in continuous need of the feedback to improve the quality and quantity about their services. But, due to the bulk amount of data, it is difficult to detect the consumer?s opinions about their services. This paper illustrates the problems about the data for the sentiment analysis. In addition to that, it uses text mining and NLP on the data through the machine learning techniques. My study is to find the public opinion about the top two apparel Indian brands and compare the positive and negative attitude and sentiments of common users about each brand. We found that positive reviews of Fabindia are more than the Biba brand and there is slight difference in negative reviews.
Keywords: Sentiment Analysis, NLP, Apparel brands, Brand Reputation, Machine learning, Text Mining
Edition: Volume 12 Issue 2, February 2023,
Pages: 916 - 919