Unsupervised aspect-based sentiment analysis on Indonesian restaurant reviews

Dhanang Hadhi Sasmita; Alfan Farizki Wicaksono; Samuel Louvan; Mirna Adriani

doi:10.1109/IALP.2017.8300623

Unsupervised aspect-based sentiment analysis on Indonesian restaurant reviews

Dhanang Hadhi Sasmita, Alfan Farizki Wicaksono, Samuel Louvan, Mirna Adriani

Department of Computer Science

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

20 Citations (Scopus)

Abstract

We address the problem of aspect-based sentiment analysis (ABSA) from Indonesian restaurant reviews due to its usefulness for customer satisfaction applications. The main task is divided into two subtasks: (1) aspect extraction, and (2) aspect sentiment orientation classification. For both subtasks, we propose an unsupervised approach which does not rely too much on hard-core natural language processing tools since Indonesian language is still under-resourced in terms of language technology. Our unsupervised approach employs several techniques in the area of distributional semantics, such as word embeddings and point-wise mutual information.

Original language	English
Title of host publication	Proceedings of the 2017 International Conference on Asian Language Processing, IALP 2017
Editors	Rong Tong, Yue Zhang, Yanfeng Lu, Minghui Dong
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	383-386
Number of pages	4
ISBN (Electronic)	9781538619803
DOIs	https://doi.org/10.1109/IALP.2017.8300623
Publication status	Published - 2 Jul 2017
Event	21st International Conference on Asian Language Processing, IALP 2017 - Singapore, Singapore Duration: 5 Dec 2017 → 7 Dec 2017

Publication series

Name	Proceedings of the 2017 International Conference on Asian Language Processing, IALP 2017
Volume	2018-January

Conference

Conference	21st International Conference on Asian Language Processing, IALP 2017
Country/Territory	Singapore
City	Singapore
Period	5/12/17 → 7/12/17

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10.1109/IALP.2017.8300623

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Sasmita, D. H., Wicaksono, A. F., Louvan, S., & Adriani, M. (2017). Unsupervised aspect-based sentiment analysis on Indonesian restaurant reviews. In R. Tong, Y. Zhang, Y. Lu, & M. Dong (Eds.), Proceedings of the 2017 International Conference on Asian Language Processing, IALP 2017 (pp. 383-386). (Proceedings of the 2017 International Conference on Asian Language Processing, IALP 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IALP.2017.8300623

Sasmita, Dhanang Hadhi ; Wicaksono, Alfan Farizki ; Louvan, Samuel et al. / Unsupervised aspect-based sentiment analysis on Indonesian restaurant reviews. Proceedings of the 2017 International Conference on Asian Language Processing, IALP 2017. editor / Rong Tong ; Yue Zhang ; Yanfeng Lu ; Minghui Dong. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 383-386 (Proceedings of the 2017 International Conference on Asian Language Processing, IALP 2017).

@inproceedings{a7f9358b79524192940e6bd62ad72f08,

title = "Unsupervised aspect-based sentiment analysis on Indonesian restaurant reviews",

abstract = "We address the problem of aspect-based sentiment analysis (ABSA) from Indonesian restaurant reviews due to its usefulness for customer satisfaction applications. The main task is divided into two subtasks: (1) aspect extraction, and (2) aspect sentiment orientation classification. For both subtasks, we propose an unsupervised approach which does not rely too much on hard-core natural language processing tools since Indonesian language is still under-resourced in terms of language technology. Our unsupervised approach employs several techniques in the area of distributional semantics, such as word embeddings and point-wise mutual information.",

author = "Sasmita, {Dhanang Hadhi} and Wicaksono, {Alfan Farizki} and Samuel Louvan and Mirna Adriani",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 21st International Conference on Asian Language Processing, IALP 2017 ; Conference date: 05-12-2017 Through 07-12-2017",

year = "2017",

month = jul,

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doi = "10.1109/IALP.2017.8300623",

language = "English",

series = "Proceedings of the 2017 International Conference on Asian Language Processing, IALP 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "383--386",

editor = "Rong Tong and Yue Zhang and Yanfeng Lu and Minghui Dong",

booktitle = "Proceedings of the 2017 International Conference on Asian Language Processing, IALP 2017",

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Sasmita, DH, Wicaksono, AF, Louvan, S & Adriani, M 2017, Unsupervised aspect-based sentiment analysis on Indonesian restaurant reviews. in R Tong, Y Zhang, Y Lu & M Dong (eds), Proceedings of the 2017 International Conference on Asian Language Processing, IALP 2017. Proceedings of the 2017 International Conference on Asian Language Processing, IALP 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 383-386, 21st International Conference on Asian Language Processing, IALP 2017, Singapore, Singapore, 5/12/17. https://doi.org/10.1109/IALP.2017.8300623

Unsupervised aspect-based sentiment analysis on Indonesian restaurant reviews. / Sasmita, Dhanang Hadhi; Wicaksono, Alfan Farizki; Louvan, Samuel et al.
Proceedings of the 2017 International Conference on Asian Language Processing, IALP 2017. ed. / Rong Tong; Yue Zhang; Yanfeng Lu; Minghui Dong. Institute of Electrical and Electronics Engineers Inc., 2017. p. 383-386 (Proceedings of the 2017 International Conference on Asian Language Processing, IALP 2017; Vol. 2018-January).

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

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AB - We address the problem of aspect-based sentiment analysis (ABSA) from Indonesian restaurant reviews due to its usefulness for customer satisfaction applications. The main task is divided into two subtasks: (1) aspect extraction, and (2) aspect sentiment orientation classification. For both subtasks, we propose an unsupervised approach which does not rely too much on hard-core natural language processing tools since Indonesian language is still under-resourced in terms of language technology. Our unsupervised approach employs several techniques in the area of distributional semantics, such as word embeddings and point-wise mutual information.

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BT - Proceedings of the 2017 International Conference on Asian Language Processing, IALP 2017

A2 - Tong, Rong

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PB - Institute of Electrical and Electronics Engineers Inc.

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Sasmita DH, Wicaksono AF, Louvan S, Adriani M. Unsupervised aspect-based sentiment analysis on Indonesian restaurant reviews. In Tong R, Zhang Y, Lu Y, Dong M, editors, Proceedings of the 2017 International Conference on Asian Language Processing, IALP 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 383-386. (Proceedings of the 2017 International Conference on Asian Language Processing, IALP 2017). doi: 10.1109/IALP.2017.8300623

Unsupervised aspect-based sentiment analysis on Indonesian restaurant reviews

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