Workshop proposal on Sentiment Analysis and the Semantic Web

[Mauro Dragoni]

Dear All,
please find below the description of the workshop proposal that Diego Reforgiato and myself would submit at ESWC 2017.
Please feel free to give us any feedback you consider relevant, and we will discuss about it.
Also, please let us know if you are willing to submit something, should the workshop proposal be accepted, and participate to the workshop that will be held in Portoroz, Slovenia in May 2017.

TITLE: Third International Workshop at ESWC on Emotions, Modality, Sentiment Analysis and the Semantic Web

INTRODUCTION: As the Web rapidly evolves, people are becoming increasingly enthusiastic about interacting, sharing, and collaborating through social networks, online communities, blogs, wikis, and the like. In recent years, this collective intelligence has spread to many different areas, with particular focus on fields related to everyday life such as commerce, tourism, education, and health, causing the size of the social Web to expand exponentially.
To identify the emotions (e.g. sentiment polarity, sadness, happiness, anger, irony, sarcasm, etc.) and the modality (e.g. doubt, certainty, obligation, liability, desire, etc.) expressed in this continuously growing content is critical to enable the correct interpretation of the opinions expressed or reported about social events, political movements, company strategies, marketing campaigns, product preferences, etc.
This has raised growing interest both within the scientific community, by providing it with new research challenges, as well as in the business world, as applications such as marketing and financial prediction would gain remarkable benefits.
However, existing opinion mining solutions still have many limitations leaving the challenge of emotions and modality analysis still open. For example, there is the need for building/enriching semantic/cognitive resources for supporting emotion and modality recognition and analysis. Additionally, the joint treatment of modality and emotion is, computationally, trailing behind, and therefore the focus of ongoing, current research. Also, while we can produce rather robust deep semantic analysis of natural language, we still need to tune this analysis towards the processing of sentiment and modalities, which cannot be addressed by means of statistical models only, currently the prevailing approaches to sentiment analysis in NLP. 
This workshop intends to be a discussion forum gathering researchers and industries from Cognitive Linguistics, NLP, Semantic Web, and related areas for presenting their ideas on the relation between Semantic Web and the study of emotions and modalities. 

TOPICS OF INTEREST

Ontologies and knowledge bases for emotion recognition
Topic and entity based emotion recognition
Semantics in the evolution of emotions within and across social media systems and topics
Semantic processing of social mediafor emotion recognition}
Contextualised emotion recognitionComparison of semantic approaches for emotion recognition
Personalised semantic emotion recognition and monitoring
Using semantics for prediction of emotions towards events, people, organisations, etc.
Baselines and datasets for semantic emotion recognition
Semantics in stream-based emotion recognition
Comparison between semantic and non-semantic approaches for emotion recognition
Multimodal emotion recognition
Multilingual sentiment analysis
Challenges in using semantics for emotion recognition
Retrieval of emotion-based documents from repositories
Deep learning and knowledge-enabled approaches for sentiment analysis