Open AccessYoutube Video Ranking: A NLP based System
Author(s) -
S. K.,
M. Rajesh,
Sri Eshwar,
Sowmya Lakshmi BS
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d7303.118419
Subject(s) - upload , popularity , computer science , ranking (information retrieval) , relevance (law) , information retrieval , quality (philosophy) , social media , world wide web , sentiment analysis , artificial intelligence , natural language processing , psychology , social psychology , philosophy , epistemology , political science , law
YouTube is an acclaimed video information source on the web among various social media sites, where users are sharing, commenting and liking/dis-liking the video along with the continuous uploading of videos in real-time. Generally, the quality, popularity and relevance of results obtained from searching a query are obtained based on a rating system. Now and then few irrelevant and substandard videos are ranked higher because of higher views and likes. To address this issue, we put forth a sentiment analysis approach on the user comments based on Natural Language Processing. The suggested analysis will be helpful in providing a desirable result to the search query. The effectuality of the system has been proved in this paper using a data driven approach in terms of accuracy.