Sentiment Elicitation from Natural Text for Information Retrieval and Extraction (SENTIRE) is the IEEE ICDM workshop series on opinion mining since 2011. The term SENTIRE comes from the Latin feel and it is root of words such as sentiment and sensation. SENTIRE aims to provide an international forum for researchers in the field of 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 Web mining, AI, Semantic Web, information retrieval and natural language processing. SENTIRE proceedings are published within ICDMW proceedings and, hence, are Scopus- and SCI-indexed.

TOPICS
SENTIRE aims to provide an international forum for researchers in the field of 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 Web mining, AI, Semantic Web, information retrieval and natural language processing. Topics of interest include but are not limited to:
• Sentiment identification & classification
• Opinion and sentiment summarization & visualization
• Aspect extraction
• Linguistic patterns for sentiment analysis
• Learning word dependencies in text
• Statistical learning theory for big social data analysis
• Sarcasm detection
• Microtext normalization
• Sentic computing
• Large commonsense graphs
• Conceptual primitives for sentiment analysis
• Multimodal emotion recognition and sentiment analysis
• Time evolving opinion & sentiment analysis
• Semantic multidimensional scaling for sentiment analysis
• Multidomain & cross-domain evaluation
• Domain adaptation for sentiment classification
• Affective knowledge acquisition for sentiment analysis
• Sentiment topic detection & trend discovery
• Social network analysis
• Social media marketing
• Opinion spam detection

TIMEFRAME
• August 24th, 2020: Submission deadline
• September 17th, 2020: Notification of acceptance
• September 24th, 2020: Final manuscripts due
• November 17th, 2020: Workshop date

ORGANIZERS
• Erik Cambria, Nanyang Technological University (Singapore)
• Rui Xia, Nanjing University of Science and Technology (China)
• Yongzheng Zhang, LinkedIn Inc. (USA)
• Bing Liu, University of Illinois at Chicago (USA)