PerSent: A freely available persian sentiment lexicon

Kia Dashtipour; Amir Hussain; Qiang Zhou; Alexander Gelbukh; Ahmad Y.A. Hawalah; Erik Cambria

doi:10.1007/978-3-319-49685-6_28

PerSent: A freely available persian sentiment lexicon

Kia Dashtipour^*
, Amir Hussain
, Qiang Zhou
, Alexander Gelbukh
, Ahmad Y.A. Hawalah
, Erik Cambria

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

37 Scopus citations

Abstract

People need to know other people’s opinions to make well-informed decisions to buy products or services. Companies and organizations need to understand people’s attitude towards their products and services and use feedback from the customers to improve their products. Sentiment analysis techniques address these needs. While the majority of Internet users are not English speakers, most research papers in the sentiment-analysis field focus on English; resources for other languages are scarce. In this paper, we introduce a Persian sentiment lexicon, which consists of 1500 words along with their part-of-speech tags and polarity scores. We have used two machine-learning algorithms to evaluate the performance of this resource on a sentiment analysis task. The lexicon is freely available and can be downloaded from our website.

Original language	English
Title of host publication	Advances in Brain Inspired Cognitive Systems - 8th International Conference, BICS 2016, Proceedings
Editors	Cheng-Lin Liu, Yi Zeng, Zhaoxiang Zhang, Kay Chen Tan, Bin Luo, Amir Hussain
Publisher	Springer Verlag
Pages	310-320
Number of pages	11
ISBN (Print)	9783319496849
DOIs	https://doi.org/10.1007/978-3-319-49685-6_28
State	Published - 2016
Externally published	Yes
Event	8th International Conference on Brain Inspired Cognitive Systems, BICS 2016 - Beijing, China Duration: 28 Nov 2016 → 30 Nov 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10023 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	8th International Conference on Brain Inspired Cognitive Systems, BICS 2016
Country/Territory	China
City	Beijing
Period	28/11/16 → 30/11/16

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2016.

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-49685-6_28

Cite this

Dashtipour, K., Hussain, A., Zhou, Q., Gelbukh, A., Hawalah, A. Y. A., & Cambria, E. (2016). PerSent: A freely available persian sentiment lexicon. In C.-L. Liu, Y. Zeng, Z. Zhang, K. C. Tan, B. Luo, & A. Hussain (Eds.), Advances in Brain Inspired Cognitive Systems - 8th International Conference, BICS 2016, Proceedings (pp. 310-320). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10023 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-49685-6_28

Dashtipour, Kia ; Hussain, Amir ; Zhou, Qiang et al. / PerSent : A freely available persian sentiment lexicon. Advances in Brain Inspired Cognitive Systems - 8th International Conference, BICS 2016, Proceedings. editor / Cheng-Lin Liu ; Yi Zeng ; Zhaoxiang Zhang ; Kay Chen Tan ; Bin Luo ; Amir Hussain. Springer Verlag, 2016. pp. 310-320 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "PerSent: A freely available persian sentiment lexicon",

abstract = "People need to know other people{\textquoteright}s opinions to make well-informed decisions to buy products or services. Companies and organizations need to understand people{\textquoteright}s attitude towards their products and services and use feedback from the customers to improve their products. Sentiment analysis techniques address these needs. While the majority of Internet users are not English speakers, most research papers in the sentiment-analysis field focus on English; resources for other languages are scarce. In this paper, we introduce a Persian sentiment lexicon, which consists of 1500 words along with their part-of-speech tags and polarity scores. We have used two machine-learning algorithms to evaluate the performance of this resource on a sentiment analysis task. The lexicon is freely available and can be downloaded from our website.",

author = "Kia Dashtipour and Amir Hussain and Qiang Zhou and Alexander Gelbukh and Hawalah, \{Ahmad Y.A.\} and Erik Cambria",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 8th International Conference on Brain Inspired Cognitive Systems, BICS 2016 ; Conference date: 28-11-2016 Through 30-11-2016",

year = "2016",

doi = "10.1007/978-3-319-49685-6\_28",

language = "English",

isbn = "9783319496849",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "310--320",

editor = "Cheng-Lin Liu and Yi Zeng and Zhaoxiang Zhang and Tan, \{Kay Chen\} and Bin Luo and Amir Hussain",

booktitle = "Advances in Brain Inspired Cognitive Systems - 8th International Conference, BICS 2016, Proceedings",

address = "Germany",

}

Dashtipour, K, Hussain, A, Zhou, Q, Gelbukh, A, Hawalah, AYA & Cambria, E 2016, PerSent: A freely available persian sentiment lexicon. in C-L Liu, Y Zeng, Z Zhang, KC Tan, B Luo & A Hussain (eds), Advances in Brain Inspired Cognitive Systems - 8th International Conference, BICS 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10023 LNAI, Springer Verlag, pp. 310-320, 8th International Conference on Brain Inspired Cognitive Systems, BICS 2016, Beijing, China, 28/11/16. https://doi.org/10.1007/978-3-319-49685-6_28

PerSent: A freely available persian sentiment lexicon. / Dashtipour, Kia; Hussain, Amir; Zhou, Qiang et al.
Advances in Brain Inspired Cognitive Systems - 8th International Conference, BICS 2016, Proceedings. ed. / Cheng-Lin Liu; Yi Zeng; Zhaoxiang Zhang; Kay Chen Tan; Bin Luo; Amir Hussain. Springer Verlag, 2016. p. 310-320 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10023 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - PerSent

T2 - 8th International Conference on Brain Inspired Cognitive Systems, BICS 2016

AU - Dashtipour, Kia

AU - Hussain, Amir

AU - Zhou, Qiang

AU - Gelbukh, Alexander

AU - Hawalah, Ahmad Y.A.

AU - Cambria, Erik

N1 - Publisher Copyright: © Springer International Publishing AG 2016.

PY - 2016

Y1 - 2016

N2 - People need to know other people’s opinions to make well-informed decisions to buy products or services. Companies and organizations need to understand people’s attitude towards their products and services and use feedback from the customers to improve their products. Sentiment analysis techniques address these needs. While the majority of Internet users are not English speakers, most research papers in the sentiment-analysis field focus on English; resources for other languages are scarce. In this paper, we introduce a Persian sentiment lexicon, which consists of 1500 words along with their part-of-speech tags and polarity scores. We have used two machine-learning algorithms to evaluate the performance of this resource on a sentiment analysis task. The lexicon is freely available and can be downloaded from our website.

AB - People need to know other people’s opinions to make well-informed decisions to buy products or services. Companies and organizations need to understand people’s attitude towards their products and services and use feedback from the customers to improve their products. Sentiment analysis techniques address these needs. While the majority of Internet users are not English speakers, most research papers in the sentiment-analysis field focus on English; resources for other languages are scarce. In this paper, we introduce a Persian sentiment lexicon, which consists of 1500 words along with their part-of-speech tags and polarity scores. We have used two machine-learning algorithms to evaluate the performance of this resource on a sentiment analysis task. The lexicon is freely available and can be downloaded from our website.

UR - https://www.scopus.com/pages/publications/84997497819

U2 - 10.1007/978-3-319-49685-6_28

DO - 10.1007/978-3-319-49685-6_28

M3 - Conference contribution

AN - SCOPUS:84997497819

SN - 9783319496849

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 310

EP - 320

BT - Advances in Brain Inspired Cognitive Systems - 8th International Conference, BICS 2016, Proceedings

A2 - Liu, Cheng-Lin

A2 - Zeng, Yi

A2 - Zhang, Zhaoxiang

A2 - Tan, Kay Chen

A2 - Luo, Bin

A2 - Hussain, Amir

PB - Springer Verlag

Y2 - 28 November 2016 through 30 November 2016

ER -

Dashtipour K, Hussain A, Zhou Q, Gelbukh A, Hawalah AYA, Cambria E. PerSent: A freely available persian sentiment lexicon. In Liu CL, Zeng Y, Zhang Z, Tan KC, Luo B, Hussain A, editors, Advances in Brain Inspired Cognitive Systems - 8th International Conference, BICS 2016, Proceedings. Springer Verlag. 2016. p. 310-320. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-49685-6_28

PerSent: A freely available persian sentiment lexicon

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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Cite this