Abstract

Nowadays people are actively involved in commenting and reviewing on social networking websites and other website like shopping website, news website etc. large number of people share everyday a large number of user data is collected, their opinion on the web. Users also find it trivial to read all the reviews and then arrived at the decision. It would be better if there were reviews some are categorized into categories so that the user has ease of reading. Sentence analysis is a natural language processing (NLP) function that measures information from various textual forms such as blogs and news are classified as positive, negative, or neutral based on their polarity But for the past few years, user content in Hindi language is also growing rapidly on the web. Therefore mining in Hindi language is also very important. A Hindi language sentence system is proposed in this research paper. The system classifies reviews as positive, negative and Neutral to Hindi language. Negativity is also control in this research system. Experimental results by experiment the review of films shows the effectiveness of the system.

How to Cite
PRASAD KESHRI, DR. NEELAM SAHU, Suraj. Sentiment Analysis of Public Expressions in Hindi Language on Media Platform. Global Journal of Computer Science and Technology, [S.l.], jan. 2022. ISSN 0975-4172. Available at: <https://computerresearch.org/index.php/computer/article/view/2073>. Date accessed: 15 aug. 2022.