Mining Opinions From Big Data of Indonesian Hotel Reviews

Moertini, Veronica Sri; Kevin, Vinsensius; Satyadi, Jeane

dc.contributor.author	Moertini, Veronica Sri
dc.contributor.author	Kevin, Vinsensius
dc.contributor.author	Satyadi, Jeane
dc.date.accessioned	2017-11-17T06:21:31Z
dc.date.available	2017-11-17T06:21:31Z
dc.date.issued	2017
dc.identifier.issn	3251-3259
dc.identifier.other	artsc227
dc.identifier.uri	http://hdl.handle.net/123456789/4051
dc.description	JOURNAL OF THEORETICAL AND APPLIED INFORMATION TECHNOLOGY; Vol.95. No.14
dc.description.abstract	Mining customer opinions from hotel reviews is useful. The results can then be used to help customers in choosing the most suitable hotel. In this research, a technique for mining opinions from big data of Indonesian hotel reviews, which is based on MapReduce, is developed. To avoid iterative computations, we adopt look-up table approach. The experiments for evaluating the performance of the technique were conducted on a Hadoop cluster with 14 clients. The results shw that the proposed technique discovers useful opinion summary and is scalable.	en_US
dc.description.uri	http://www.jatit.org/volumes/Vol95No14/10Vol95No14.pdf
dc.language.iso	en	en_US
dc.publisher	Little Lion Scientific
dc.relation.ispartofseries	JOURNAL OF THEORETICAL AND APPLIED INFORMATION TECHNOLOGY;Vol.95. No.14
dc.subject	MINING INDONESIAN HOTEL REVIEWS	en_US
dc.subject	BIG DATA	en_US
dc.subject	MAPREDUCE	en_US
dc.title	Mining Opinions From Big Data of Indonesian Hotel Reviews	en_US
dc.type	Journal Articles	en_US