short-paper

SentiFars: A Persian Polarity Lexicon for Sentiment Analysis

Author:

Rahim DehkharghaniAuthors Info & Claims

ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 19, Issue 2

Article No.: 21, Pages 1 - 12

https://doi.org/10.1145/3345627

Published: 17 September 2019 Publication History

Abstract

There is no doubt about the usefulness of public opinion toward different issues in social media and the World Wide Web. Extracting the feelings of people about an issue from text is not straightforward. Polarity lexicons that assign polarity tags or scores to words and phrases play an important role in sentiment analysis systems. As English is the richest language in this area, getting benefits from existing English resources in order to build new ones has attracted the interest of many researchers in recent years. In this article, we propose a new translation-based approach for building polarity resources in resource-lean languages such as Persian. The results of empirical evaluation of the proposed approach prove its effectiveness. The generated resource is the largest publicly available polarity lexicon for Persian.

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Cited By

Ahangari Ahangarkolaei MSebti AYaghoubi M(2023)Automatically generate sentiment lexicon for the Persian stock marketSignal and Data Processing10.61186/jsdp.20.2.320:2(3-20)Online publication date: 1-Sep-2023
https://doi.org/10.61186/jsdp.20.2.3
Nazarizadeh ASayyadpour MBanirostam T(2023)The Effect of Data Augmentation Techniques on Persian Sentiment Analysis2023 9th International Conference on Signal Processing and Intelligent Systems (ICSPIS)10.1109/ICSPIS59665.2023.10402760(1-8)Online publication date: 14-Dec-2023
https://doi.org/10.1109/ICSPIS59665.2023.10402760
Hussiny MPayenda MVahidi A(2023)SentiDariPers: Sentiment Analysis of Dari-Persian Tweets Based on People’s Views and OpinionTechnologies and Innovation10.1007/978-3-031-45682-4_11(138-156)Online publication date: 23-Oct-2023
https://doi.org/10.1007/978-3-031-45682-4_11
Show More Cited By

Index Terms

SentiFars: A Persian Polarity Lexicon for Sentiment Analysis
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Sentiment analysis

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Published In

cover image ACM Transactions on Asian and Low-Resource Language Information Processing

ACM Transactions on Asian and Low-Resource Language Information Processing Volume 19, Issue 2

March 2020

301 pages

ISSN:2375-4699

EISSN:2375-4702

DOI:10.1145/3358605

Editor:
Imed Zitouni
Microsoft, USA

Issue’s Table of Contents

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 September 2019

Accepted: 01 July 2019

Received: 01 April 2019

Published in TALLIP Volume 19, Issue 2

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Cited By

Ahangari Ahangarkolaei MSebti AYaghoubi M(2023)Automatically generate sentiment lexicon for the Persian stock marketSignal and Data Processing10.61186/jsdp.20.2.320:2(3-20)Online publication date: 1-Sep-2023
https://doi.org/10.61186/jsdp.20.2.3
Nazarizadeh ASayyadpour MBanirostam T(2023)The Effect of Data Augmentation Techniques on Persian Sentiment Analysis2023 9th International Conference on Signal Processing and Intelligent Systems (ICSPIS)10.1109/ICSPIS59665.2023.10402760(1-8)Online publication date: 14-Dec-2023
https://doi.org/10.1109/ICSPIS59665.2023.10402760
Hussiny MPayenda MVahidi A(2023)SentiDariPers: Sentiment Analysis of Dari-Persian Tweets Based on People’s Views and OpinionTechnologies and Innovation10.1007/978-3-031-45682-4_11(138-156)Online publication date: 23-Oct-2023
https://doi.org/10.1007/978-3-031-45682-4_11
Rajabi Zvalavi MHourali M(2022)Sentiment analysis methods in Persian text: A surveySignal and Data Processing10.52547/jsdp.19.2.10719:2(107-132)Online publication date: 1-Sep-2022
https://doi.org/10.52547/jsdp.19.2.107
Nazarizadeh ABanirostam TSayyadpour M(2022)Using Group Deep Learning and Data Augmentation in Persian Sentiment Analysis2022 8th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS)10.1109/ICSPIS56952.2022.10044052(1-5)Online publication date: 28-Dec-2022
https://doi.org/10.1109/ICSPIS56952.2022.10044052
Wijayanti RArisal A(2021)Automatic Indonesian Sentiment Lexicon Curation with Sentiment Valence Tuning for Social Media Sentiment AnalysisACM Transactions on Asian and Low-Resource Language Information Processing10.1145/342563220:1(1-16)Online publication date: Mar-2021
https://doi.org/10.1145/3425632
Heydari MTeimourpour B(2021)Persian Opinion Mining:A Networked Analysis Approach2021 7th International Conference on Web Research (ICWR)10.1109/ICWR51868.2021.9443158(142-149)Online publication date: 19-May-2021
https://doi.org/10.1109/ICWR51868.2021.9443158
Ghasemi RAshrafi Asli SMomtazi S(2020)Deep Persian sentiment analysis: Cross-lingual training for low-resource languagesJournal of Information Science10.1177/016555152096278148:4(449-462)Online publication date: 2-Dec-2020
https://doi.org/10.1177/0165551520962781

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