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Conference Paper/Proceeding/Abstract 1069 views

Deriving insights from national happiness indices

A. Brew, D. Greene, D. Archambault, P. Cunningham, Daniel Archambault Orcid Logo

ICDM SENTIRE Sentiment Elicitation from Natural Text for Information Retrieval and Extraction, Pages: 53 - 60

Swansea University Author: Daniel Archambault Orcid Logo

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DOI (Published version): 10.1109/ICDMW.2011.61

Published in: ICDM SENTIRE Sentiment Elicitation from Natural Text for Information Retrieval and Extraction
Published: 2011
Online Access: http://www.scopus.com/inward/record.url?eid=2-s2.0-84857184525&partnerID=MN8TOARS
URI: https://cronfa.swan.ac.uk/Record/cronfa23047
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title Deriving insights from national happiness indices
spellingShingle Deriving insights from national happiness indices
Daniel Archambault
title_short Deriving insights from national happiness indices
title_full Deriving insights from national happiness indices
title_fullStr Deriving insights from national happiness indices
title_full_unstemmed Deriving insights from national happiness indices
title_sort Deriving insights from national happiness indices
author_id_str_mv 8fa6987716a22304ef04d3c3d50ef266
author_id_fullname_str_mv 8fa6987716a22304ef04d3c3d50ef266_***_Daniel Archambault
author Daniel Archambault
author2 A. Brew
D. Greene
D. Archambault
P. Cunningham
Daniel Archambault
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container_title ICDM SENTIRE Sentiment Elicitation from Natural Text for Information Retrieval and Extraction
container_start_page 53
publishDate 2011
institution Swansea University
doi_str_mv 10.1109/ICDMW.2011.61
college_str Faculty of Science and Engineering
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department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
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published_date 2011-12-31T18:15:31Z
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