University of Hertfordshire

By the same authors

Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Standard

Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments. / Rabbimov, Ilyos; Mporas, Iosif; Simaki, Vasiliki; Kobilov, Sami.

Speech and Computer - 22nd International Conference, SPECOM 2020, Proceedings. ed. / Alexey Karpov; Rodmonga Potapova. Springer, 2020. p. 435-445 (Lecture Notes in Computer Science; Vol. 12335 LNAI).

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Harvard

Rabbimov, I, Mporas, I, Simaki, V & Kobilov, S 2020, Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments. in A Karpov & R Potapova (eds), Speech and Computer - 22nd International Conference, SPECOM 2020, Proceedings. Lecture Notes in Computer Science, vol. 12335 LNAI, Springer, pp. 435-445, 22nd International Conference, SPECOM 2020, St. Petersburg, Russian Federation, 7/10/20. https://doi.org/10.1007/978-3-030-60276-5_42

APA

Rabbimov, I., Mporas, I., Simaki, V., & Kobilov, S. (2020). Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments. In A. Karpov, & R. Potapova (Eds.), Speech and Computer - 22nd International Conference, SPECOM 2020, Proceedings (pp. 435-445). (Lecture Notes in Computer Science; Vol. 12335 LNAI). Springer. https://doi.org/10.1007/978-3-030-60276-5_42

Vancouver

Rabbimov I, Mporas I, Simaki V, Kobilov S. Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments. In Karpov A, Potapova R, editors, Speech and Computer - 22nd International Conference, SPECOM 2020, Proceedings. Springer. 2020. p. 435-445. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-030-60276-5_42

Author

Rabbimov, Ilyos ; Mporas, Iosif ; Simaki, Vasiliki ; Kobilov, Sami. / Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments. Speech and Computer - 22nd International Conference, SPECOM 2020, Proceedings. editor / Alexey Karpov ; Rodmonga Potapova. Springer, 2020. pp. 435-445 (Lecture Notes in Computer Science).

Bibtex

@inbook{e3f26f7a9e774aaa907413bac88c36ad,
title = "Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments",
abstract = "Opinion mining on social media posts has become more and more popular. Users often express their opinion on a topic not only with words but they also use image symbols such as emoticons and emoji. In this paper, we investigate the effect of emoji-based features in opinion classification of Uzbek texts, and more specifically movie review comments from YouTube. Several classification algorithms are tested, and feature ranking is performed to evaluate the discriminative ability of the emoji-based features.",
keywords = "Emoji, Opinion classification, Sentiment analysis",
author = "Ilyos Rabbimov and Iosif Mporas and Vasiliki Simaki and Sami Kobilov",
note = "{\textcopyright} 2020, Springer Nature Switzerland AG. ; 22nd International Conference, SPECOM 2020 ; Conference date: 07-10-2020 Through 09-10-2020",
year = "2020",
month = sep,
day = "29",
doi = "10.1007/978-3-030-60276-5_42",
language = "English",
isbn = "9783030602758",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "435--445",
editor = "Alexey Karpov and Rodmonga Potapova",
booktitle = "Speech and Computer - 22nd International Conference, SPECOM 2020, Proceedings",
url = "http://www.specom.nw.ru/2020/",

}

RIS

TY - CHAP

T1 - Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments

AU - Rabbimov, Ilyos

AU - Mporas, Iosif

AU - Simaki, Vasiliki

AU - Kobilov, Sami

N1 - © 2020, Springer Nature Switzerland AG.

PY - 2020/9/29

Y1 - 2020/9/29

N2 - Opinion mining on social media posts has become more and more popular. Users often express their opinion on a topic not only with words but they also use image symbols such as emoticons and emoji. In this paper, we investigate the effect of emoji-based features in opinion classification of Uzbek texts, and more specifically movie review comments from YouTube. Several classification algorithms are tested, and feature ranking is performed to evaluate the discriminative ability of the emoji-based features.

AB - Opinion mining on social media posts has become more and more popular. Users often express their opinion on a topic not only with words but they also use image symbols such as emoticons and emoji. In this paper, we investigate the effect of emoji-based features in opinion classification of Uzbek texts, and more specifically movie review comments from YouTube. Several classification algorithms are tested, and feature ranking is performed to evaluate the discriminative ability of the emoji-based features.

KW - Emoji

KW - Opinion classification

KW - Sentiment analysis

UR - http://www.scopus.com/inward/record.url?scp=85092899667&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-60276-5_42

DO - 10.1007/978-3-030-60276-5_42

M3 - Chapter (peer-reviewed)

SN - 9783030602758

T3 - Lecture Notes in Computer Science

SP - 435

EP - 445

BT - Speech and Computer - 22nd International Conference, SPECOM 2020, Proceedings

A2 - Karpov, Alexey

A2 - Potapova, Rodmonga

PB - Springer

T2 - 22nd International Conference, SPECOM 2020

Y2 - 7 October 2020 through 9 October 2020

ER -