Opinion Mining For Social Networking Sites

Abstract

People often express their emotions with their opinions,
so by using opinions, we can know what people are
thinking about any topic, such as games, politics,
movies, etc. To predict sentiment from reviews, in this
paper, the author is analysing people's reviews. To
detect people's opinions and emotions, the author is
using NLTK (natural language processing) and a data
mining algorithm. For converting reviews into numeric
vectors, it is called TF-IDF. We are used RF classifier
for proposed methodology.