Abstract: In today’s generation, people write blogs, articles, record videos, audios, and upload it across the Internet for people across the globe to view. One of the benefits of this advancements is that now people can share their opinions directly and instantly with the artist. This large amount of feedback can be of great significance, when analyzed with necessary expertise and tools. This field is referred to as Sentiment Analysis which aims at identifying the sentiment of the text and also whether the writer has a positive opinion or a negative one. Categorization of these responses can help an artist to get insight of public review in order to take necessary steps in near future. In this paper we intend to use a lexicon based approach for sentiment analysis of comments on YouTube videos.
Keywords: Sentiment Analysis, Lexicon, YouTube and SentiWordNet
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DOI:
10.17148/IJARCCE.2022.11376
