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Social Mood Extraction from Twitter Posts with Document Topic Model

Author:
Ohmura, M. , Kakusho, K. , Okadome, T.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/TENCON.2014.7022422
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/999379
Keyword(s): Algorithm design and analysis,Dynamic programming,Heuristic algorithms,Operations research,Presses,Routing,Standards,Dreyfus',s method,Dynamic programming (DP),K shortest paths algorithms,routing control
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    Social Mood Extraction from Twitter Posts with Document Topic Model

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contributor authorOhmura, M. , Kakusho, K. , Okadome, T.
date accessioned2020-03-12T20:02:10Z
date available2020-03-12T20:02:10Z
date issued2014
identifier other6847465.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/999379?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleSocial Mood Extraction from Twitter Posts with Document Topic Model
typeConference Paper
contenttypeMetadata Only
identifier padid8119718
subject keywordsAlgorithm design and analysis
subject keywordsDynamic programming
subject keywordsHeuristic algorithms
subject keywordsOperations research
subject keywordsPresses
subject keywordsRouting
subject keywordsStandards
subject keywordsDreyfus'
subject keywordss method
subject keywordsDynamic programming (DP)
subject keywordsK shortest paths algorithms
subject keywordsrouting control
identifier doi10.1109/TENCON.2014.7022422
journal titlenformation Science and Applications (ICISA), 2014 International Conference on
filesize127174
citations0
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