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Article

Sentiment analysis of urdu language: handling phrase-level negation

Authors:

Afraz Zahra Syed,

Muhammad Aslam,

Ana Maria Martinez-EnriquezAuthors Info & Claims

MICAI'11: Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I

Pages 382 - 393

https://doi.org/10.1007/978-3-642-25324-9_33

Published: 26 November 2011 Publication History

Abstract

The paper investigates and proposes the treatment of the effect of the phrase-level negation on the sentiment analysis of the Urdu text based reviews. The negation acts as the valence shifter and flips or switches the inherent sentiments of the subjective terms in the opinionated sentences. The presented approach focuses on the subjective phrases called the SentiUnits, which are made by the subjective terms (adjectives), their modifiers, conjunctions, and the negation. The final effect of these phrases is computed according to the given model. The analyzer takes one sentence from the given review, extracts the constituent SentiUnits, computes their overall effect (polarity) and then calculates the final sentence polarity. Using this approach, the effect of negation is handled within these subjective phrases. The main contribution of the research is to deal with a morphologically rich, and resource poor language, and despite of being a pioneering effort in handling negation for the sentiment analysis of the Urdu text, the results of experimentation are quit encouraging.

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Cited By

Bashir MJaved AArshad MGadekallu TShahzad WBeg M(2022)Context-aware Emotion Detection from Low-resource Urdu Language Using Deep Neural NetworkACM Transactions on Asian and Low-Resource Language Information Processing10.1145/352857622:5(1-30)Online publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1145/3528576
Rana TShahzadi KRana TArshad ATubishat M(2021)An Unsupervised Approach for Sentiment Analysis on Social Media Short Text Classification in Roman UrduACM Transactions on Asian and Low-Resource Language Information Processing10.1145/347411921:2(1-16)Online publication date: 3-Nov-2021
https://dl.acm.org/doi/10.1145/3474119
Awais DShoaib D(2019)Role of Discourse Information in Urdu Sentiment ClassificationACM Transactions on Asian and Low-Resource Language Information Processing10.1145/330005018:4(1-37)Online publication date: 21-May-2019
https://dl.acm.org/doi/10.1145/3300050
Show More Cited By

Sentiment analysis of urdu language: handling phrase-level negation

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Information & Contributors

Information

Published In

cover image Guide Proceedings

MICAI'11: Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I

November 2011

595 pages

ISBN:9783642253232

Editors:
Ildar Batyrshin
Mexican Petroleum Institute (IMP), Eje Central Lazaro Cardenas Norte, 152, Col. San Bartolo Atepehuacan, Mexico DF,, Mexico
,
Grigori Sidorov
National Polytechnic Institute (IPN), Center for Computing Research (CIC), Av. Juan Dios Bátiz, s/n, Col. Nueva Industrial Vallejo, Mexico D.F., Mexico

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 26 November 2011

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Cited By

Bashir MJaved AArshad MGadekallu TShahzad WBeg M(2022)Context-aware Emotion Detection from Low-resource Urdu Language Using Deep Neural NetworkACM Transactions on Asian and Low-Resource Language Information Processing10.1145/352857622:5(1-30)Online publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1145/3528576
Rana TShahzadi KRana TArshad ATubishat M(2021)An Unsupervised Approach for Sentiment Analysis on Social Media Short Text Classification in Roman UrduACM Transactions on Asian and Low-Resource Language Information Processing10.1145/347411921:2(1-16)Online publication date: 3-Nov-2021
https://dl.acm.org/doi/10.1145/3474119
Awais DShoaib D(2019)Role of Discourse Information in Urdu Sentiment ClassificationACM Transactions on Asian and Low-Resource Language Information Processing10.1145/330005018:4(1-37)Online publication date: 21-May-2019
https://dl.acm.org/doi/10.1145/3300050
Rani SKumar P(2019)A journey of Indian languages over sentiment analysisArtificial Intelligence Review10.1007/s10462-018-9670-y52:2(1415-1462)Online publication date: 1-Aug-2019
https://dl.acm.org/doi/10.1007/s10462-018-9670-y

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