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 for opinion mining

• Linguistic patterns for sentiment analysis

• Learning word dependencies in text

• Statistical learning theory for big social data analysis

• Deep learning for sarcasm detection

• 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