Review on Natural Language Processing (NLP) and its toolkits for opinion mining and sentiment analysis

Solangi, Yasir Ali and Solangi, Zulfiqar Ali and Aarain, Samreen and Abro, Amna and Mallah, Gulam Ali and Shah, Asadullah (2019) Review on Natural Language Processing (NLP) and its toolkits for opinion mining and sentiment analysis. In: 5th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS) 2018, 22nd-23rd Nov. 2018, Bangkok, Thailand.

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Abstract

As the majority of online networking on the Internet, opinion mining has turned into a fundamental way to deal with investigating such huge numbers of information. Different applications show up in an extensive variety of modern areas. In the interim, opinions have various pronunciations which bring along investigate challenges. The research challenges make opinion mining a dynamic research region recently. In this paper, Natural Language Processing (NLP) techniques for opinion mining and sentiment analysis are reviewed. Initially NLP is reviewed then briefed about its common and useful preprocessing steps also. In this paper opinion mining for various levels are analyzed and reviewed. At the end issues are identified and some recommendation are suggested for opinion mining and-sentiment-analysis.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	6566/72642
Uncontrolled Keywords:	natural language processing, NLP, Opinion mining, sentiment analysis, toolkits
Subjects:	T Technology > T Technology (General) T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Prof Asadullah Shah
Date Deposited:	14 Jun 2019 15:32
Last Modified:	14 Jun 2019 15:33
URI:	http://irep.iium.edu.my/id/eprint/72642

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