Educational Organization: A new approach of a new dataset for View Mining and Sentiment Analysis

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-31 Number-1
Year of Publication : 2016
Authors : Aftab Alam, Mohammad Mujahid Barga
  10.14445/22312803/IJCTT-V31P103

MLA

Aftab Alam, Mohammad Mujahid Barga "Educational Organization: A new approach of a new dataset for View Mining and Sentiment Analysis". International Journal of Computer Trends and Technology (IJCTT) V31(1):13-16, January 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
In the present era, the growth of social website and electronic media contributes vast amount of user generated content such as customer reviews, comments and views. Sentiment Analysis term is referred to the extraction of others (speaker or writer) view in given source material (text) by using NLP, Linguistic Computation and Text mining (LCT). View Mining and Sentiment Analysis is a growing research area, covering over multiple disciplines such as data mining, text mining. View mining is a vital art of extracting the views from the vast set of view set or reviews. Sentiment analysis is a type of natural language processing for tracking the mood of the public about a particular product or topic. Sentiment analysis, involves in building a system to collect and examine views about the product made in blog posts, comments, reviews or tweets. This paper focus on development of new standard education based dataset, EDUCATIONAL ORGANIZATION which is used for view mining and sentiment analysis. This dataset uses reviews as input and produces a collection of good, bad and neutral reviews.

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Keywords
NLP, LCT, view mining, sentiment analysis, Blog posts, Tweets, EDUCATIONAL ORGANIZATION.