Concept-level sentiment analysis

作者: Erik Cambria

DOI: 10.1145/2567948.2577268

关键词:

摘要: The WWW'14 tutorial on Concept-Level Sentiment Analysis aims to provide its participants means efficiently design models, techniques, tools, and services for concept-level sentiment analysis their commercial realizations. draws insights resulting from the recent IEEE Intelligent Systems special issues Opinion CIM issue Computational Intelligence Natural Language Processing. includes a hands-on session illustrate how build opinion-mining engine step-by-step, semantic parsing reasoning.

参考文章(12)
Albert Weichselbraun, Stefan Gindl, Arno Scharl, Extracting and Grounding Contextualized Sentiment Lexicons IEEE Intelligent Systems. ,vol. 28, pp. 39- 46 ,(2013) , 10.1109/MIS.2013.41
Angela Charng-Rurng Tsai, Chi-En Wu, Richard Tzong-Han Tsai, Jane Yung-jen Hsu, Building a Concept-Level Sentiment Dictionary Based on Commonsense Knowledge IEEE Intelligent Systems. ,vol. 28, pp. 22- 30 ,(2013) , 10.1109/MIS.2013.25
Erik Cambria, Bebo White, Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article] IEEE Computational Intelligence Magazine. ,vol. 9, pp. 48- 57 ,(2014) , 10.1109/MCI.2014.2307227
Soujanya Poria, Alexander Gelbukh, Amir Hussain, Newton Howard, Dipankar Das, Sivaji Bandyopadhyay, None, Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining IEEE Intelligent Systems. ,vol. 28, pp. 31- 38 ,(2013) , 10.1109/MIS.2013.4
Aldo Gangemi, Valentina Presutti, Diego Reforgiato Recupero, Frame-Based Detection of Opinion Holders and Topics: A Model and a Tool IEEE Computational Intelligence Magazine. ,vol. 9, pp. 20- 30 ,(2014) , 10.1109/MCI.2013.2291688
Raymond Y.K. Lau, Yunqing Xia, Yunming Ye, A Probabilistic Generative Model for Mining Cybercriminal Networks from Online Social Media IEEE Computational Intelligence Magazine. ,vol. 9, pp. 31- 43 ,(2014) , 10.1109/MCI.2013.2291689
Rui Xia, Chengqing Zong, Xuelei Hu, Erik Cambria, Feature Ensemble Plus Sample Selection: Domain Adaptation for Sentiment Classification IEEE Intelligent Systems. ,vol. 28, pp. 10- 18 ,(2013) , 10.1109/MIS.2013.27
Veronica Perez Rosas, Rada Mihalcea, Louis-Philippe Morency, Multimodal Sentiment Analysis of Spanish Online Videos IEEE Intelligent Systems. ,vol. 28, pp. 38- 45 ,(2013) , 10.1109/MIS.2013.9
Erik Cambria, Paolo Gastaldo, Federica Bisio, Rodolfo Zunino, An ELM-based model for affective analogical reasoning Neurocomputing. ,vol. 149, pp. 443- 455 ,(2015) , 10.1016/J.NEUCOM.2014.01.064
Erik Cambria, Bjorn Schuller, Yunqing Xia, Catherine Havasi, New Avenues in Opinion Mining and Sentiment Analysis IEEE Intelligent Systems. ,vol. 28, pp. 15- 21 ,(2013) , 10.1109/MIS.2013.30