An Introduction to Concept-Level Sentiment Analysis

作者: Erik Cambria

DOI: 10.1007/978-3-642-45111-9_41

关键词: Product (category theory)Identity (object-oriented programming)Natural languageKey (cryptography)Domain (software engineering)Consumption (sociology)Factor (programming language)Sentiment analysisWorld Wide WebComputer science

摘要: The ways people express their opinions and sentiments have radically changed in the past few years thanks to the advent of social networks, web communities, blogs, wikis, and other online collaborative media. The distillation of knowledge from the huge amount of unstructured information on the Web can be a key factor for marketers who want to create an image or identity in the minds of their customers for their product or brand. These online social data, however, remain hardly accessible to computers, as they are specifically meant …

参考文章(21)
Andrea Esuli, Fabrizio Sebastiani, SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining language resources and evaluation. pp. 417- 422 ,(2006)
Cristina Bosco, Viviana Patti, Andrea Bolioli, Developing Corpora for Sentiment Analysis: The Case of Irony and Senti-TUT IEEE Intelligent Systems. ,vol. 28, pp. 55- 63 ,(2013) , 10.1109/MIS.2013.28
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
Zhaohui Wu, Raj Reddy, Gang Pan, Nenggan Zheng, Paul F.M.J. Verschure, Qiaosheng Zhang, Xiaoxiang Zheng, Jose C. Principe, Alex Kreilinger, Martin Rohm, Vera Kaiser, Robert Leeb, Rudiger Rupp, Gernot R. Muller-Putz, The Convergence of Machine and Biological Intelligence IEEE Intelligent Systems. ,vol. 28, pp. 28- 43 ,(2013) , 10.1109/MIS.2013.137
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
Chihli Hung, Hao-Kai Lin, Using Objective Words in SentiWordNet to Improve Word-of-Mouth Sentiment Classification IEEE Intelligent Systems. ,vol. 28, pp. 47- 54 ,(2013) , 10.1109/MIS.2013.1
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
Martin Wollmer, Felix Weninger, Tobias Knaup, Bjorn Schuller, Congkai Sun, Kenji Sagae, Louis-Philippe Morency, YouTube Movie Reviews: Sentiment Analysis in an Audio-Visual Context IEEE Intelligent Systems. ,vol. 28, pp. 46- 53 ,(2013) , 10.1109/MIS.2013.34