CALL FOR CHAPTERS

Sentiment Analysis and Ontology Engineering:

An Environment of Computational Intelligence

To be published by Springer Verlag

Witold Pedrycz and Shyi-Ming Chen (Editors)

Sentiment analysis and prediction along with ontology design, analysis and usage are essential to numerous pursuits in knowledge engineering and numerous application areas embracing business, heath sector, Internet, social networking, politics, and economy. We have been witnessing a plethora of new concepts, methods and innovative applications.  Capturing the sentiments and the emotional states present in textual information embraces a wide range of web-oriented activities such as e.g., detecting the sentiments associated to the product reviews, developing marketing programs enhancing customer services, identifying new opportunities and financial market prediction. The rapid growth of user-generated data (e.g., consumer reviews) at social media sites has offered another impetus to the development of social analytics tools to automatically extract, analyze, and summarize user-generated contents. In the era of Web 2.0, a sheer volume of user-contributed data is profound. This has given rise to Sentic Computing regarded as a visible paradigm, which combines opinion mining and Sentiment Analysis to recognize, interpret and process opinions and sentiments in natural language.

Many studies have been focused on construction of fuzzy ontologies originating from different sources such as entity-relationship (ER), their fuzzy set counterparts and extended entity-relationship (EER) models. Building fuzzy ontologies comes as one of the interesting pursuits while, in turn, fuzzy ontologies could be represented by the fuzzy OWL language.

Computational Intelligence (CI) as a rich armamentarium of concepts and algorithms that are human-centric while delivering efficient tools of global optimization.  From this perspective, CI is in a unique position to deliver a conceptual and algorithmic setting to sentiment analysis and ontology-driven constructs and processing.

The ultimate objective is to develop an updated, focused and comprehensive compendium of knowledge on Sentiment Analysis and Ontology Engineering exploiting the fundamentals and algorithmic pursuits offered by Computational Intelligence.

The book is aimed at a broad audience of researchers and practitioners including those active in various disciplines in which knowledge engineering, Internet-based activities, and reasoning mechanisms.

Topics of interest include, but are not limited to, the following:

• Fundamentals of sentiment analysis – concepts and methodology
• Ontology engineering – fundamentals
• Fuzzy models in sentiment analysis
• Multilevel sentiment analysis
• Collaborative schemes of sentiment analysis and sentiment systems
• Knowledge acquisition in ontology – driven models

• Case studies

Submission Procedure

Potential authors are invited to submit a brief one-page summary of the proposed chapter clearly identifying the main objectives of their research. Authors of the accepted proposals will be notified and provided with detailed guidelines. Brief Proposal are to be submitted by June 10, 2015. All manuscripts will be thoroughly reviewed. The lead authors will be provided with a complimentary copy of the volume.

The proposals and manuscripts are to be submitted electronically to both editors (wpedrycz@ualberta.ca and smchen@mail.ntust.edu.tw).

Important Dates

June 10, 2015                  Brief Proposal Submission

June 25, 2015                  Notification of Acceptance of the proposal

August 1, 2015               Full Chapter Submission

September 20, 2015               Review Results Returned

November 1, 2015          Final Chapter Submission