Creating sentiment lexicon for sentiment analysis in Urdu: The case of a resource‐poor language-Reference-Cited by-同舟云学术

Creating sentiment lexicon for sentiment analysis in Urdu: The case of a resource‐poor language

Published:2019-04-10 Issue:3 Volume:36 Page:e12397
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Asghar Muhammad Zubair¹^ORCID,Sattar Anum¹,Khan Aurangzeb²,Ali Amjad³,Masud Kundi Fazal¹,Ahmad Shakeel⁴

Affiliation:

1. Institute of Computing and Information Technology (ICIT)Gomal University Dera Ismail Khan Pakistan

2. Department of Computer ScienceUniversity of Science and Technology Bannu Pakistan

3. Department of Computer and Software TechnologyUniversity of Swat Saidu Sharif Pakistan

4. Faculty of Computing and Information Technology in Rabigh (FCITR)King Abdul Aziz University (KAU) Jeddah Saudi Arabia

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12397

Reference34 articles.

1. Sentiment‐annotated lexicon construction for an Urdu text based sentiment analyzer;Afraz Z. S.;Pakistan Journal of Science,2011

2. A Unified Framework for Creating Domain Dependent Polarity Lexicons from User Generated Reviews

3. Sentence-Level Emotion Detection Framework Using Rule-Based Classification

4. Awais (2012). Retrieved fromhttp://chaoticity.com/urdusentimentlexicon/urdusentimentlexicon.zip last accessed 09 April 2016.

5. Baccianella S. Esuli A. &Sebastiani F.(2010 May).Sentiwordnet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining. InLrec(Vol. 10 No. 2010 pp. 2200–2204).

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