Results 281 to 290 of about 479,101 (332)
Evolutionary game model for public health emergency management in universities. [PDF]
Wei J +8 more
europepmc +1 more source
Research on online book user purchase behavior based on the event logic graph. [PDF]
Zhang B, Peng S.
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Editorial: Emerging techniques in Arabic natural language processing. [PDF]
Abudalfa S, Saad M, El-Beltagy S.
europepmc +1 more source
Dynamic monitoring of public opinion on fertility intentions: based on the intersection of empirical and social media perspectives. [PDF]
Wang X, Fu J, Fan J, Zeng J.
europepmc +1 more source
Opinion mining: reviewed from word to document level [PDF]
International audienceOpinion mining is one of the most challenging tasks of the field of information retrieval. Research community has been publishing a number of articles on this topic but a significant increase in interest has been observed during the
Malik Muhammad Saad Missen +2 more
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MILCOM 2012 - 2012 IEEE Military Communications Conference, 2012
Network operations that support tactical missions are often characterized by evolving information that needs to be delivered over bandwidth constrained communication networks and presented to a social/cognitive network with limited human attention span and high stress.
Mudhakar Srivatsa +2 more
openaire +1 more source
Network operations that support tactical missions are often characterized by evolving information that needs to be delivered over bandwidth constrained communication networks and presented to a social/cognitive network with limited human attention span and high stress.
Mudhakar Srivatsa +2 more
openaire +1 more source
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2014
This paper defines a systematic approach to Opinion Mining (OM) on YouTube comments by (i) modeling classifiers for predicting the opinion polarity and the type of comment and (ii) proposing robust shallow syntactic structures for improving model adaptability. We rely on the tree kernel technology to automatically extract and learn features with better
Severyn, Aliaksei +4 more
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This paper defines a systematic approach to Opinion Mining (OM) on YouTube comments by (i) modeling classifiers for predicting the opinion polarity and the type of comment and (ii) proposing robust shallow syntactic structures for improving model adaptability. We rely on the tree kernel technology to automatically extract and learn features with better
Severyn, Aliaksei +4 more
openaire +1 more source
IEEE Intelligent Systems, 2010
The advent of Web 2.0 and social media content has stirred much excitement and created abundant opportunities for understanding the opinions of the general public and consumers toward social events, political movements, company strategies, marketing campaigns, and product preferences.
Hsinchun Chen, David Zimbra
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The advent of Web 2.0 and social media content has stirred much excitement and created abundant opportunities for understanding the opinions of the general public and consumers toward social events, political movements, company strategies, marketing campaigns, and product preferences.
Hsinchun Chen, David Zimbra
openaire +1 more source
Ensemble methods for opinion mining
2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015Opinion mining is an emerging field which uses computer science methods to extract subjective information, such as opinion, emotion, and attitude inherent in opinion holder's text. One of the major issues in opinion mining is to enhance the predictive performance of classification algorithm. Ensemble methods used for opinion mining aim to obtain robust
Aytug Onan, Serdar Korukoglu
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