যন্ত্র-না (Jantra-Na Not-Machine) Can Only Feel যন্ত্রনা (Jantrana Pain)!

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Author(s): Amitava Das (Norwegian University of Science and Technology, Norway)and Björn Gambäck (Norwegian University of Science and Technology, Norway)
Copyright: 2013
Pages: 18
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.ch015

Keywords: Artificial Intelligence / Computational Linguistics / Computer Science & IT / Information Science Reference

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Abstract

Arguably, the most important difference between machines and humans is that humans have feelings. For several decades researchers have been trying to create methods to simulate sentimentality for machines, and currently Sentiment Analysis is the hottest, most demanding, and rapidly growing task in the language processing field. Sentiment analysis or opinion mining refers to the application of Natural Language Processing, Computational Linguistics, and text analytics to identify and extract sentimental (opinionated, emotional) information in a text. The basic task in sentiment analysis is to classify the polarity of a given text at the document, sentence, or feature/aspect level, that is, to decide whether the expressed sentiment in a document, a sentence, or a feature/aspect is positive (happy), negative (sad), neutral (memorable), and so forth. In this chapter, the authors discuss various challenges and solution strategies for Sentiment Analysis with a particular view to texts in Bangla (Bengali).

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