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

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

Amitava Das, Björn Gambäck
Copyright: © 2013 |Pages: 18
ISBN13: 9781466639706|ISBN10: 1466639709|EISBN13: 9781466639713
DOI: 10.4018/978-1-4666-3970-6.ch015
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MLA

Das, Amitava, and Björn Gambäck. "যন্ত্র-না (Jantra-Na Not-Machine) Can Only Feel যন্ত্রনা (Jantrana Pain)!." Technical Challenges and Design Issues in Bangla Language Processing, edited by M. A. Karim, et al., IGI Global, 2013, pp. 328-345. https://doi.org/10.4018/978-1-4666-3970-6.ch015

APA

Das, A. & Gambäck, B. (2013). যন্ত্র-না (Jantra-Na Not-Machine) Can Only Feel যন্ত্রনা (Jantrana Pain)!. In M. Karim, M. Kaykobad, & M. Murshed (Eds.), Technical Challenges and Design Issues in Bangla Language Processing (pp. 328-345). IGI Global. https://doi.org/10.4018/978-1-4666-3970-6.ch015

Chicago

Das, Amitava, and Björn Gambäck. "যন্ত্র-না (Jantra-Na Not-Machine) Can Only Feel যন্ত্রনা (Jantrana Pain)!." In Technical Challenges and Design Issues in Bangla Language Processing, edited by M. A. Karim, M. Kaykobad, and M. Murshed, 328-345. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-3970-6.ch015

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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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