Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
Journal of Engineering and Applied Sciences
Year: 2017  |  Volume: 12  |  Issue: 2 SI  |  Page No.: 6157 - 6159

Lexicon Based Sentiment Analysis on Facebook Page

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.

Fulltext    |   Related Articles   |   Back
   
 
 
 
  Related Articles

 
 
 
 
 
 
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility