JCT at SemEval-2022 Task 6-A: Sarcasm Detection in Tweets Written in English and Arabic using Preprocessing Methods and Word N-grams

Yaakov HaCohen-Kerner; Matan Fchima; Ilan Meyrowitsch

JCT at SemEval-2022 Task 6-A: Sarcasm Detection in Tweets Written in English and Arabic using Preprocessing Methods and Word N-grams

Yaakov HaCohen-Kerner, Matan Fchima, Ilan Meyrowitsch

Jerusalem College of Technology

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

Abstract

In this paper, we describe our submissions to SemEval-2022 contest. We tackled subtask 6-A - 'iSarcasmEval: Intended Sarcasm Detection In English and Arabic - Binary Classification". We developed different models for two languages: English and Arabic. We applied 4 supervised machine learning methods, 6 preprocessing methods for English and 3 for Arabic, and 3 oversampling methods. Our best submitted model for the English test dataset was an SVC model that balanced the dataset using SMOTE and removed stop words. For the Arabic test dataset, our best submitted model was an SVC model that preprocessed removed longation.

Original language	English
Title of host publication	SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop
Editors	Guy Emerson, Natalie Schluter, Gabriel Stanovsky, Ritesh Kumar, Alexis Palmer, Nathan Schneider, Siddharth Singh, Shyam Ratan
Publisher	Association for Computational Linguistics (ACL)
Pages	1031-1038
Number of pages	8
ISBN (Electronic)	9781955917803
State	Published - 2022
Externally published	Yes
Event	16th International Workshop on Semantic Evaluation, SemEval 2022 - Seattle, United States Duration: 14 Jul 2022 → 15 Jul 2022

Publication series

Name	SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop

Conference

Conference	16th International Workshop on Semantic Evaluation, SemEval 2022
Country/Territory	United States
City	Seattle
Period	14/07/22 → 15/07/22

Bibliographical note

Publisher Copyright:
© 2022 Association for Computational Linguistics.

Cite this

HaCohen-Kerner, Y., Fchima, M., & Meyrowitsch, I. (2022). JCT at SemEval-2022 Task 6-A: Sarcasm Detection in Tweets Written in English and Arabic using Preprocessing Methods and Word N-grams. In G. Emerson, N. Schluter, G. Stanovsky, R. Kumar, A. Palmer, N. Schneider, S. Singh, & S. Ratan (Eds.), SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop (pp. 1031-1038). (SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop). Association for Computational Linguistics (ACL).

HaCohen-Kerner, Yaakov ; Fchima, Matan ; Meyrowitsch, Ilan. / JCT at SemEval-2022 Task 6-A : Sarcasm Detection in Tweets Written in English and Arabic using Preprocessing Methods and Word N-grams. SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop. editor / Guy Emerson ; Natalie Schluter ; Gabriel Stanovsky ; Ritesh Kumar ; Alexis Palmer ; Nathan Schneider ; Siddharth Singh ; Shyam Ratan. Association for Computational Linguistics (ACL), 2022. pp. 1031-1038 (SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop).

@inproceedings{3fa15dd9fc2b48c29b3e705add9afa04,

title = "JCT at SemEval-2022 Task 6-A: Sarcasm Detection in Tweets Written in English and Arabic using Preprocessing Methods and Word N-grams",

abstract = "In this paper, we describe our submissions to SemEval-2022 contest. We tackled subtask 6-A - 'iSarcasmEval: Intended Sarcasm Detection In English and Arabic - Binary Classification{"}. We developed different models for two languages: English and Arabic. We applied 4 supervised machine learning methods, 6 preprocessing methods for English and 3 for Arabic, and 3 oversampling methods. Our best submitted model for the English test dataset was an SVC model that balanced the dataset using SMOTE and removed stop words. For the Arabic test dataset, our best submitted model was an SVC model that preprocessed removed longation.",

author = "Yaakov HaCohen-Kerner and Matan Fchima and Ilan Meyrowitsch",

note = "Publisher Copyright: {\textcopyright} 2022 Association for Computational Linguistics.; 16th International Workshop on Semantic Evaluation, SemEval 2022 ; Conference date: 14-07-2022 Through 15-07-2022",

year = "2022",

language = "אנגלית",

series = "SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop",

publisher = "Association for Computational Linguistics (ACL)",

pages = "1031--1038",

editor = "Guy Emerson and Natalie Schluter and Gabriel Stanovsky and Ritesh Kumar and Alexis Palmer and Nathan Schneider and Siddharth Singh and Shyam Ratan",

booktitle = "SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop",

address = "ארצות הברית",

}

HaCohen-Kerner, Y, Fchima, M & Meyrowitsch, I 2022, JCT at SemEval-2022 Task 6-A: Sarcasm Detection in Tweets Written in English and Arabic using Preprocessing Methods and Word N-grams. in G Emerson, N Schluter, G Stanovsky, R Kumar, A Palmer, N Schneider, S Singh & S Ratan (eds), SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop. SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop, Association for Computational Linguistics (ACL), pp. 1031-1038, 16th International Workshop on Semantic Evaluation, SemEval 2022, Seattle, United States, 14/07/22.

JCT at SemEval-2022 Task 6-A: Sarcasm Detection in Tweets Written in English and Arabic using Preprocessing Methods and Word N-grams. / HaCohen-Kerner, Yaakov; Fchima, Matan; Meyrowitsch, Ilan.
SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop. ed. / Guy Emerson; Natalie Schluter; Gabriel Stanovsky; Ritesh Kumar; Alexis Palmer; Nathan Schneider; Siddharth Singh; Shyam Ratan. Association for Computational Linguistics (ACL), 2022. p. 1031-1038 (SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop).

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

TY - GEN

T1 - JCT at SemEval-2022 Task 6-A

T2 - 16th International Workshop on Semantic Evaluation, SemEval 2022

AU - HaCohen-Kerner, Yaakov

AU - Fchima, Matan

AU - Meyrowitsch, Ilan

PY - 2022

Y1 - 2022

N2 - In this paper, we describe our submissions to SemEval-2022 contest. We tackled subtask 6-A - 'iSarcasmEval: Intended Sarcasm Detection In English and Arabic - Binary Classification". We developed different models for two languages: English and Arabic. We applied 4 supervised machine learning methods, 6 preprocessing methods for English and 3 for Arabic, and 3 oversampling methods. Our best submitted model for the English test dataset was an SVC model that balanced the dataset using SMOTE and removed stop words. For the Arabic test dataset, our best submitted model was an SVC model that preprocessed removed longation.

AB - In this paper, we describe our submissions to SemEval-2022 contest. We tackled subtask 6-A - 'iSarcasmEval: Intended Sarcasm Detection In English and Arabic - Binary Classification". We developed different models for two languages: English and Arabic. We applied 4 supervised machine learning methods, 6 preprocessing methods for English and 3 for Arabic, and 3 oversampling methods. Our best submitted model for the English test dataset was an SVC model that balanced the dataset using SMOTE and removed stop words. For the Arabic test dataset, our best submitted model was an SVC model that preprocessed removed longation.

UR - http://www.scopus.com/inward/record.url?scp=85137544755&partnerID=8YFLogxK

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:85137544755

T3 - SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop

SP - 1031

EP - 1038

BT - SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop

A2 - Emerson, Guy

A2 - Schluter, Natalie

A2 - Stanovsky, Gabriel

A2 - Kumar, Ritesh

A2 - Palmer, Alexis

A2 - Schneider, Nathan

A2 - Singh, Siddharth

A2 - Ratan, Shyam

PB - Association for Computational Linguistics (ACL)

Y2 - 14 July 2022 through 15 July 2022

ER -

HaCohen-Kerner Y, Fchima M, Meyrowitsch I. JCT at SemEval-2022 Task 6-A: Sarcasm Detection in Tweets Written in English and Arabic using Preprocessing Methods and Word N-grams. In Emerson G, Schluter N, Stanovsky G, Kumar R, Palmer A, Schneider N, Singh S, Ratan S, editors, SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop. Association for Computational Linguistics (ACL). 2022. p. 1031-1038. (SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop).

JCT at SemEval-2022 Task 6-A: Sarcasm Detection in Tweets Written in English and Arabic using Preprocessing Methods and Word N-grams

Abstract

Publication series

Conference

Bibliographical note

Other files and links

Fingerprint

Cite this