Food-related sentiment analysis for Cantonese

Natalia Klyueva; Yunfei Long; Chu Ren Huang; Qin Lu

Food-related sentiment analysis for Cantonese

Natalia Klyueva, Yunfei Long, Chu Ren Huang, Qin Lu

Research output: Unpublished conference presentation (presented paper, abstract, poster) › Conference presentation (not published in journal/proceeding/book) › Academic research › peer-review

4 Citations (Scopus)

Abstract

In this paper, we describe a work in progress on collecting data from the domain of food reviews in Hong Kong for sentiment analysis and the initial experiments conducted on the data. Another goal of this study is to use the described data to create a sentiment lexicon for Cantonese, which will serve as a resource for opinion mining related machine learning experiments.

Original language	English
Pages	882-886
Number of pages	5
Publication status	Published - 2018
Event	32nd Pacific Asia Conference on Language, Information and Computation, PACLIC 2018, in conjunction with the 25th Joint Workshop on Linguistics and Language Processing, JWLLP 2018 - Hong Kong, Hong Kong Duration: 1 Dec 2018 → 3 Dec 2018

Conference

Conference	32nd Pacific Asia Conference on Language, Information and Computation, PACLIC 2018, in conjunction with the 25th Joint Workshop on Linguistics and Language Processing, JWLLP 2018
Country/Territory	Hong Kong
City	Hong Kong
Period	1/12/18 → 3/12/18

ASJC Scopus subject areas

Language and Linguistics
Computer Science (miscellaneous)

Cite this

@conference{9bf761d6daf84690be116ce89ec441f6,

title = "Food-related sentiment analysis for Cantonese",

abstract = "In this paper, we describe a work in progress on collecting data from the domain of food reviews in Hong Kong for sentiment analysis and the initial experiments conducted on the data. Another goal of this study is to use the described data to create a sentiment lexicon for Cantonese, which will serve as a resource for opinion mining related machine learning experiments.",

author = "Natalia Klyueva and Yunfei Long and Huang, {Chu Ren} and Qin Lu",

note = "Funding Information: This work has been supported by the postdoctoral fellowship grant of the Hong Kong Polytechnic University (PolyU RTVU), project code G-YW2P; and GRF grant (CERG PolyU 15211/14E, PolyU 152006/16E). Publisher Copyright: {\textcopyright} 1963-2019 ACL.; 32nd Pacific Asia Conference on Language, Information and Computation, PACLIC 2018, in conjunction with the 25th Joint Workshop on Linguistics and Language Processing, JWLLP 2018 ; Conference date: 01-12-2018 Through 03-12-2018",

year = "2018",

language = "English",

pages = "882--886",

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Food-related sentiment analysis for Cantonese. / Klyueva, Natalia; Long, Yunfei; Huang, Chu Ren et al.
2018. 882-886 Paper presented at 32nd Pacific Asia Conference on Language, Information and Computation, PACLIC 2018, in conjunction with the 25th Joint Workshop on Linguistics and Language Processing, JWLLP 2018, Hong Kong, Hong Kong.

Research output: Unpublished conference presentation (presented paper, abstract, poster) › Conference presentation (not published in journal/proceeding/book) › Academic research › peer-review

TY - CONF

T1 - Food-related sentiment analysis for Cantonese

AU - Klyueva, Natalia

AU - Long, Yunfei

AU - Huang, Chu Ren

AU - Lu, Qin

N1 - Funding Information: This work has been supported by the postdoctoral fellowship grant of the Hong Kong Polytechnic University (PolyU RTVU), project code G-YW2P; and GRF grant (CERG PolyU 15211/14E, PolyU 152006/16E). Publisher Copyright: © 1963-2019 ACL.

PY - 2018

Y1 - 2018

N2 - In this paper, we describe a work in progress on collecting data from the domain of food reviews in Hong Kong for sentiment analysis and the initial experiments conducted on the data. Another goal of this study is to use the described data to create a sentiment lexicon for Cantonese, which will serve as a resource for opinion mining related machine learning experiments.

AB - In this paper, we describe a work in progress on collecting data from the domain of food reviews in Hong Kong for sentiment analysis and the initial experiments conducted on the data. Another goal of this study is to use the described data to create a sentiment lexicon for Cantonese, which will serve as a resource for opinion mining related machine learning experiments.

UR - http://www.scopus.com/inward/record.url?scp=85092004369&partnerID=8YFLogxK

M3 - Conference presentation (not published in journal/proceeding/book)

AN - SCOPUS:85092004369

SP - 882

EP - 886

T2 - 32nd Pacific Asia Conference on Language, Information and Computation, PACLIC 2018, in conjunction with the 25th Joint Workshop on Linguistics and Language Processing, JWLLP 2018

Y2 - 1 December 2018 through 3 December 2018

ER -

Food-related sentiment analysis for Cantonese

Abstract

Conference

ASJC Scopus subject areas

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