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ORCID2. WISDOM 2013: Chicago, IL, USA
- Erik Cambria, Bing Liu, Yongzheng Zhang, Yunqing Xia:
Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining, WISDOM 2013, Chicago, IL, USA, August 11, 2013. ACM 2013, ISBN 978-1-4503-2332-1 - Saif M. Mohammad, Svetlana Kiritchenko
, Joel D. Martin:
Identifying purpose behind electoral tweets. 1:1-1:9 - Felipe Bravo-Marquez, Marcelo Mendoza, Barbara Poblete:
Combining strengths, emotions and polarities for boosting Twitter sentiment analysis. 2:1-2:9 - Corrado Monti, Alessandro Rozza, Giovanni Zappella, Matteo Zignani, Adam Arvidsson, Elanor Colleoni:
Modelling political disaffection from Twitter data. 3:1-3:9 - Lucas Carstens, Francesca Toni:
Enhancing sentiment extraction from text by means of arguments. 4:1-4:9 - Florian Wogenstein, Johannes Drescher, Dirk Reinel, Sven Rill, Jörg Scheidt:
Evaluation of an algorithm for aspect-based opinion mining using a lexicon-based approach. 5:1-5:8 - Dheeraj Rajagopal, Daniel Olsher, Erik Cambria, Kenneth Kwok:
Commonsense-based topic modeling. 6:1-6:8 - Sarvesh Ranade, Jayant Gupta, Vasudeva Varma, Radhika Mamidi:
Online debate summarization using topic directed sentiment analysis. 7:1-7:6 - Erik Tromp, Mykola Pechenizkiy:
RBEM: a rule based approach to polarity detection. 8:1-8:9 - Erkin Demirtas, Mykola Pechenizkiy:
Cross-lingual polarity detection with machine translation. 9:1-9:8 - Jianbo Yuan, Sean Mcdonough, Quanzeng You, Jiebo Luo:
Sentribute: image sentiment analysis from a mid-level perspective. 10:1-10:8
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