SentiVoice - a system for querying hotel service reviews via phone

Author

Thien Khai Tran

Author_Institution

Ho Chi Minh City Univ. of Foreign Languages & Inf. Technol. (Huflit), Ho Chi Minh City, Vietnam

fYear

2015

fDate

25-28 Jan. 2015

Firstpage

65

Lastpage

70

Abstract

Sentiment analysis or opinion mining is a new research field but playing an important role in computer sciences, attracting interests of academia as well as industry. As a field of research, it is closely related to natural language processing, machine learning, text mining and information retrieval. In this paper, we use the machine learning approach to classify hotel service reviews. The results of this phase are integrated into our voice server system that we have successfully developed previously ([31], [32]). As a result, users can consult hotel information via phone calls instead of the keyboard.

Keywords

data mining; hotel industry; learning (artificial intelligence); natural language processing; pattern classification; query processing; speech recognition; text analysis; SentiVoice; hotel service review classification; hotel service review query; information retrieval; machine learning; natural language processing; opinion mining; sentiment analysis; text mining; voice server system; Accuracy; Hidden Markov models; Knowledge based systems; Semantics; Sentiment analysis; Speech; Speech recognition; SentiVoice; Voice server; hotel reviews; opinion mining; sentiment analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing & Communication Technologies - Research, Innovation, and Vision for the Future (RIVF), 2015 IEEE RIVF International Conference on

Conference_Location

Can Tho

Print_ISBN

978-1-4799-8043-7

Type

conf

DOI

10.1109/RIVF.2015.7049876

Filename

7049876