NDLI: An effective model for aspect based opinion mining for social reviews

Content Provider	IEEE Xplore Digital Library
Author	Mir, J. Usman, M.
Copyright Year	2015
Description	Author affiliation: Dept. of Comput., Shaheed Zulfikar Ali Bhutto Inst. of Sci. & Technol., Islamabad, Pakistan (Mir, J.; Usman, M.)
Abstract	Aspect-based opinion mining is a combination of Natural Language Processing (NLP) and Sentiment-Analysis. There are three main levels of sentiment-analysis; document level, sentence level and aspect level. In this study, we focus on aspect level sentiment analysis or aspect based opinion mining. Regarding this, several studies have been conducted; however, none of these previously reported studies have proven to be effective and intelligent for mining aspects using the critical factors. While analyzing, aspect based opinion mining, certain factors have to be considered, which are: implicit aspects, multi-aspect sentences, comparative sentences, domain or language adaptability and accuracy. Such factors help in analyzing an effective aspect based opinion mining model. In this paper, several models have been critically evaluated on aforementioned criteria. It has been observed that none of these models covers all the critical factors in aspect based opinion mining systems. Additionally, most of the models have been applied for products or services instead of social reviews. There is a growing need of effectively performing aspect based opinion mining on social networks data. This paper presents an effective model for aspect based opinion mining which cover most of the critical factors for effective opinion mining. However, the implementation of this model is beyond the scope of this paper.
Starting Page	49
Ending Page	56
File Size	1263297
Page Count	8
File Format	PDF
e-ISBN	9781467391528
DOI	10.1109/ICDIM.2015.7381851
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-21
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptation models Analytical models Question based sentences feature extraction implicit aspect sentiment orientation Blogs Manuals Multi-aspect
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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