OPINION MINING FOR OPINION ORIENTED INFORMATION SEEKING SYSTEM
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Author:
NAYAB NASIR
Citable URI :
https://vspace.vu.edu.pk/detail.aspx?id=210
Publisher :
Virtual University
Date Issued:
6/26/2019 12:00:00 AM
Abstract
Advancement in technology makes this world a global village. People are connected with one another through social networks or they engage in online hiring or purchasing of products. This makes a drastic change in our industrial working patterns. Today’s market change from service oriented to customer oriented. For this purpose individual first have to look at reviews or user’s opinion about a product, customer’s feedback helps them in hiring or purchasing. Sentiment analysis or opinion mining plays a significant role in decision making process, as this analysis is being used to analyze user’s feeling, attitude and emotional attraction towards a product, social networks or it could be any article or blog. People’s attitude/reviews towards a product could be categorized as negative, positive or neutral. In this research work will mine these customer’s attitudes/opinions/reviews by using machine learning mechanism which helps to enhance the decision making process in order to categorize individual’s attitude in future.
URI :
https://vspace.vu.edu.pk/details.aspx?id=210
Citation:
Nasir, N(2018), OPINION MINING FOR OPINION ORIENTED INFORMATION SEEKING SYSTEM. Virtual University of Pakistan.(Lahore, Pakistan).
Version :
Final Version
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Detailed Terms :
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Files in this item |
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Fall 2018_CS720_MS150400522.pdf |
820kb |
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