We are inviting you to contribute to the 7th KDD Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM'18) to be held in conjunction with KDD'18 in London on August 20, 2018. WISDOM aims to motivate researchers and practitioners from multidisciplinary fields to enhance the development of novel opinion mining and sentiment analysis techniques. For more information about the workshop and submission details, please visit http://www.sentic.net/wisdom/#wisdom18.
TOPICS
WISDOM aims to provide an international forum for researchers in the field of machine learning for opinion mining and sentiment analysis to share information on their latest investigations in social information retrieval and their applications both in academic research areas and industrial sectors. The broader context of the workshop comprehends opinion mining, social media marketing, information retrieval, and natural language processing. Topics of interest include but are not limited to:
* Sentiment, emotion, and stance classification & regression
* Deep learning modeling for sentiment, emotion, and stance
* Target or multi-target based sentiment and stance analysis
* Multilingual opinion mining
* Opinion search & retrieval
* Business intelligence applications
* Sarcasm detection and modeling
* Opinion aggregation
* Opinion spam detection
* Sentiment summarization
* Concept-level sentiment analysis
* Biologically-inspired opinion mining
* Psychological models for sentiment analysis
* Comparative opinion analysis
* Social ranking
* Social network analysis
* Time evolving sentiment analysis
* Influence, trust & privacy analysis
* Topic detection & trend discovery
* Knowledge-based opinion mining
* Visualization
* Entity discovery & extraction
* Big social data analysis
TIMEFRAME
* May 8, 2018: Submission deadline
* June 8, 2018: Notification of acceptance
* June 22, 2018: Final manuscripts due
* August 20, 2018: Workshop date
ORGANIZERS
* Yongzheng Zhang, LinkedIn Corporation (USA)
* Bing Liu, University of Illinois at Chicago (USA)
* Erik Cambria, Nanyang Technological University (Singapore)
* Xiaodan Zhu, Queen's University (Canada)
Best regards,
WISDOM'18 organizing committee