Social emotion classification of short text via topic-level maximum entropy model
Year of publication: |
December 2016
|
---|---|
Authors: | Rao, Yanghui ; Xie, Haoran ; Li, Jun ; Jin, Fengmei ; Wang, Fu Lee ; Li, Qing |
Published in: |
Information & management : the internat. journal of management processes and systems ; journal of IFIP Users Group. - Amsterdam : Elsevier, ISSN 0378-7206, ZDB-ID 432134-0. - Vol. 53.2016, 8, p. 978-986
|
Subject: | Topic-level maximum entropy model | Social emotion classification | Short-text analysis | Public opinion mining | Entropie | Entropy | Emotion | Theorie | Theory |
-
Suspense : exploring a new lens for outcome uncertainty in entrepreneurship
Hsieh, Chihmao, (2021)
-
The uncertainty of systemic risk
Ilin, Thomas, (2015)
-
Crash Risk in Currency Returns
Chernov, Mikhail, (2015)
- More ...
-
A Comparative Study on Various Vocabulary Knowledge Scales for Predicting Vocabulary Pre-Knowledge
Zou, Di, (2017)
-
Guiding principles of visual-based programming for children's language learning
Weng, Xiaojing, (2018)
-
Wang, Qiping, (2021)
- More ...