Sentiment Analysis of YouTube Comments on Koha Open Source Software Videos

Abstract

Author(s): Lambodara Parabhoi, Payel Saha

YouTube is a popular video sharing website and used by many users for different purposes. Peoples watch, share, comments and likes on videos uploaded by the creator. Sentiment analysis is very useful topics in the field of information science. However, many commercial website, online shopping sites are frequently reviewing the comments posted by the user. In this paper we examine sentiment analysis of comments pertaining information to Koha ILS videos. In total 404 commented were found in this study. The comments were analyzed based on predetermine objective such as, Intention, Subjectivity, Emotion, Sentiment and word frequency.

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