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Sentiment-topic modeling in text mining / Chenghua Lin; Ebuka Ibeke; Adam Wyner; Frank Guerin

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Volume: 5, Issue: 5, Pages: 246 - 254

Swansea University Author: Adam, Wyner

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DOI (Published version): 10.1002/widm.1161

Published in: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
ISSN: 19424787
Published: 2015
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URI: https://cronfa.swan.ac.uk/Record/cronfa50692
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first_indexed 2019-06-06T20:54:05Z
last_indexed 2019-06-17T20:52:02Z
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spelling 2019-06-17T16:57:38.4995583 v2 50692 2019-06-06 Sentiment-topic modeling in text mining 51fa34a3136b8e81fc273fce73e88099 0000-0002-2958-3428 Adam Wyner Adam Wyner true false 2019-06-06 LAWD Journal Article Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 5 5 246 254 19424787 31 12 2015 2015-12-31 10.1002/widm.1161 COLLEGE NANME Law COLLEGE CODE LAWD Swansea University 2019-06-17T16:57:38.4995583 2019-06-06T17:49:57.0246426 Legal Studies Chenghua Lin 1 Ebuka Ibeke 2 Adam Wyner 0000-0002-2958-3428 3 Frank Guerin 4
title Sentiment-topic modeling in text mining
spellingShingle Sentiment-topic modeling in text mining
Adam, Wyner
title_short Sentiment-topic modeling in text mining
title_full Sentiment-topic modeling in text mining
title_fullStr Sentiment-topic modeling in text mining
title_full_unstemmed Sentiment-topic modeling in text mining
title_sort Sentiment-topic modeling in text mining
author_id_str_mv 51fa34a3136b8e81fc273fce73e88099
author_id_fullname_str_mv 51fa34a3136b8e81fc273fce73e88099_***_Adam, Wyner
author Adam, Wyner
author2 Chenghua Lin
Ebuka Ibeke
Adam Wyner
Frank Guerin
format Journal article
container_title Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
container_volume 5
container_issue 5
container_start_page 246
publishDate 2015
institution Swansea University
issn 19424787
doi_str_mv 10.1002/widm.1161
document_store_str 0
active_str 0
published_date 2015-12-31T04:03:47Z
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score 10.766063