遥感与地理信息系统学报

抽象的

Classification of YouTube data based on Opinion Mining

MUSKAN VERMA,RIYA GARG, RITIKA JAIN,ANURADHA TALUJA

Opinion Mining is a matter of great concern and an emerging research field of omnipresentcomputing. Nowadays, people find it very difficult to find the exact content which theyhave searched for due to the enormous amount of content found on google, YouTube ,Unacadamy and Udemy. Using Machine Learning one can make the exact search and getthe best suit or match of the search without spending a lot of time which eventually leads to economizing time. Proposed scheme is more efficient in terms of computation than other traditional schemes.Sentiment analysis systems are being applied in almost every business and socialdomain. It is far beyond just the number , number of likes/comments/shares. It is primarily used to evaluate or analyse the commenter’s opinions , sentiments, emotions and attitude from a written piece/comment on a particular post/video. It will fundamentally help in saving a lot of time as the seeker can directly get the overall opinion based on the comments that whether he should invest his time in watching the particular video or go for the other one.