Mining Chinese Restaurant Reviews for Cuisine Name Extraction: An Application to Cuisine Guide Service

Author

Peng, Ting-Chun ; Shih, Chia-Chun

Author_Institution

Inst. for Inf. Ind., Taipei, Taiwan

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

Consumer reviews are dominating consumer purchase decisions, and restaurant (cuisine) reviews are one of the most popular genres of consumer reviews. In contrast to traditional named entity recognition (NER) targets, cuisine names are promising targets that were neglected in previous studies. This study proposes a novel cuisine name extraction algorithm, which can extract cuisine names from restaurant reviews effectively with satisfying performance. Based on the algorithm, we processed more than 12,000 Chinese restaurant reviews and generated a "cuisine map", showing the most popular dishes of restaurants in a map-view to help users make good purchase decisions.

Keywords

data mining; document handling; Chinese restaurant review mining; cuisine guide service; cuisine map; cuisine name extraction; named entity recognition; Data mining; Feedback; Information services; Internet; Market research; Mining industry; Natural language processing; Prototypes; Target recognition; Web sites;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4994-1

Type

conf

DOI

10.1109/ICIECS.2009.5366585

Filename

5366585