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Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review

2 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 languageEnglish
Pages882-886
Number of pages5
Publication statusPublished - 2018
Event32nd 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 20183 Dec 2018

Conference

Conference32nd 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/TerritoryHong Kong
CityHong Kong
Period1/12/183/12/18

ASJC Scopus subject areas

  • Language and Linguistics
  • Computer Science (miscellaneous)

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