Friday 29th of March 2024
 

Ranking System for Opinion Mining of Features from Review Documents


Tanvir Ahmad and Mohammad Najmud Doja

With the exponential growth of the web there has been explosive increase in the user generated contents in the form of customer reviews, blogs, discussion forums, social networks etc. Most of the contents are stored in the form of unstructured or semi structured data from where distillation of knowledge is a challenging task. In this paper we propose a feature wise opinion mining system which first extracts features from user generated contents, then determines the intensity of the opinions by giving emphasis to the modifier of the words, which expresses opinions. It finds the numeric score of all the features using Senti-WordNet and then calculates the overall orientation of the feature to determine how intense the opinion is for both the positive and negative features. The positive and negative features are identified by extracting the associated modifiers and opinions. The summary is presented by specifying the features in descending order of importance.

Keywords: Opinion mining, Sentiment analysis, Natural language processing, Text mining

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ABOUT THE AUTHORS

Tanvir Ahmad
Tanvir Ahmad is an Associate Professor in the Department of Computer Engineering, Jamia Millia Islamia (A Central University), New Delhi. He has done his B.E.(Computer Engineering) from Bangalore University and M.Tech (Information Technology) from I.P University, New Delhi and is pursuing his Ph.D. from Jamia Millia Islamia in the area of Frequent and Sequential pattern mining. He started his teaching career from University Polytechnic, Jamia Millia Islamia in the year 2002 as a Lecturer in 2002. In 2009 he was promoted to the post of Associate Professor from Reader. He has published about 10 papers in International conference and national conference. His area of interest include Fuzzy database, Text mining, Sequential mining and Image based security methods. He is a member of IEEE, ISTE and CSI.

Mohammad Najmud Doja
Prof.M.N.Doja is a Professor in the Department of Computer Engineering, Jamia Millia Islamia(A Central University), New Delhi. He is the founder head of the department and has been the head for a period of 6 years since its inception. He has done his B.Sc(Engg) from B.I.T. Mesra, M.Tech from I.I.T.Delhi and Ph.D. from Jamia Millia Islamia. He has published more that 100 papers in International Journals and Conferences. He is a reviewer in many journals and conferences and had been invited to give talks to many universities in India. He has been the session chair in many International and National conferences. He has guided more than 10 Ph.D. in the field of Adhoc network, Sensor network Operating System, Network security and Data Mining. He has a teaching experience of more than 25 years.


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