The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Sentiment Recognition from Bangla Text
|
|
Author(s): K. M. Azharul Hasan (Khulna University of Engineering and Technology (KUET), Bangladesh), Sajidul Islam (Khulna University of Engineering and Technology (KUET), Bangladesh), G. M. Mashrur-E-Elahi (Khulna University of Engineering and Technology (KUET), Bangladesh)and Mohammad Navid Izhar (Khulna University of Engineering and Technology (KUET), Bangladesh)
Copyright: 2013
Pages: 13
Source title:
Technical Challenges and Design Issues in Bangla Language Processing
Source Author(s)/Editor(s): M. A. Karim (Old Dominion University, USA), M. Kaykobad (Bangladesh University of Engineering & Technology, Bangladesh)and M. Murshed (Monash University, Australia)
DOI: 10.4018/978-1-4666-3970-6.ch014
Purchase
|
Abstract
Sentiment analysis is a very important area of the natural language processing. In general, sentiment classification means the analysis to determine the expression of a speaker whether he or she holds positive or negative opinion to a specific subject. With the rapid growth of e-commerce, sentiment analysis can greatly influence everyone in their real life. For example, product reviews on the Web have become an important source of information for customers’ decision making when they want to buy any product. As the reviews are often too many for customers to go through, how to automatically classify and detect the sentiment from them has become an important research problem. In this chapter, the authors present a Sentiment Analyzer that recognizes the Bangla sentiment or opinion about a subject from Bangla text. They construct some phrase patterns and calculate their sentiment orientation. They add tags to words in the Bangla text to construct the phrase pattern for positive and negative sentiment. Then the authors match the phrase pattern in Bangla text with their predefined phrase pattern and cumulate the sentiment orientation of each sentence.
Related Content
|
Reinaldo Padilha França, Ana Carolina Borges Monteiro, Rangel Arthur, Yuzo Iano.
© 2021.
21 pages.
|
|
Abdul Kader Saiod, Darelle van Greunen.
© 2021.
28 pages.
|
|
Aswini R., Padmapriya N..
© 2021.
22 pages.
|
|
Zubeida Khan, C. Maria Keet.
© 2021.
21 pages.
|
|
Neha Gupta, Rashmi Agrawal.
© 2021.
20 pages.
|
|
Kamalendu Pal.
© 2021.
14 pages.
|
|
Joy Nkechinyere Olawuyi, Bernard Ijesunor Akhigbe, Babajide Samuel Afolabi, Attoh Okine.
© 2021.
19 pages.
|
|
|