Sentiment Analysis of User Youtube Comments Using Classifier Algorithm
Keywords:
Machine Learning, Support Vector Machine, Data mining, Sentiment analysisAbstract
“Sentiment Analysis” is the process of extracting other people's (speaker or writer) opinions from a given original source (text) utilizing natural language processing (NLP), linguistics computing, & data mining. In sentiment analysis, sentiment classification of various parameters such as comments, reviews and products has become a significant application. For the interpretation of meaning of each and every comment, “text mining approach” is used. For understanding the meaningfulness of any content, it is important to classify them into positive and negative comments on the basis of user opinion.
In the present study, researcher has performed sentiment analysis on YouTube comments on the most popular topics nowadays by using Classifier techniques.
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