Journal of Engineering and Applied Sciences

Year: 2017
Volume: 12
Issue: 2 SI
Page No. 6157 - 6159

Lexicon Based Sentiment Analysis on Facebook Page

Authors : Mohammad Arif and Gourav Bathla

Abstract: Sentiment analysis, also known as opinion mining is among the operations of NLP. Due to gradual increase in data like comments, reviews, blogs the direction of research is going or focusing over sentiment analysis. Sentiment analysis has grown interest of researchers of today’s age, sinceits application are growing tremendously. Sentiment analysis is the calculation of conception, sentiments and subjectivity of text. Internet is one of the biggest source from where we can collect our data for analysis. The social networking sites like facebook and twitter are generating huge amount of data filled with sentiments, opinions, comments of people about their friends, situation, products. The sentiment behind every comment, review, blog can be analyzed by opinion mining. I will apply NLP to extract subjective information from text. I have chosen a facebook page of Kashmir named as Wazwan the great Kashmiri cuisine. Wazwan is the traditional cooking of the Kashmir.

How to cite this article:

Mohammad Arif and Gourav Bathla, 2017. Lexicon Based Sentiment Analysis on Facebook Page. Journal of Engineering and Applied Sciences, 12: 6157-6159.

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