Sentiment Prediction Based on Lexical Analysis Using Deep Learning

dc.contributor.author	Chowdhury, S. M. Mazharul Hoque
dc.contributor.author	Abujar, Sheikh
dc.contributor.author	Saifuzzaman, Mohd.
dc.contributor.author	Ghosh, Priyanka
dc.contributor.author	Hossain, Syed Akhter
dc.date.accessioned	2018-09-29T04:06:43Z
dc.date.accessioned	2019-05-27T09:59:31Z
dc.date.available	2018-09-29T04:06:43Z
dc.date.available	2019-05-27T09:59:31Z
dc.date.issued	2018-09-02
dc.identifier.uri	http://hdl.handle.net/20.500.11948/3341
dc.description.abstract	This era of computing made everything computerized. So people started to interact in the virtual life more than real life. From shopping to talking, everything is controlled by computer. Because of that it has become more and more important to analyze and extract sentiment. Sentiment can be extracted from different type of data format like audio, text, image. In this paper, we proposed some methods to analyze text data in the paragraph level. Those methods can be implemented using bag of words, and priority was given to the lexical-based analysis. Full Text Link: https://doi.org/10.1007/978-981-13-1501-5_38	en_US
dc.language.iso	en	en_US
dc.publisher	Springer	en_US
dc.subject	Lexical Analysis	en_US
dc.subject	Sentiment Prediction	en_US
dc.subject	Deep Learning	en_US
dc.title	Sentiment Prediction Based on Lexical Analysis Using Deep Learning	en_US
dc.type	Article	en_US