October 11 - 16, 2015
St. Julians, Malta .
The recent development of social networks, numerous ad hoc interest-based formed virtual communities, and citizen-driven institutional initiatives raise a series of new challenges in considering human behavior, both on personal and collective contexts.
There is a great possibility to capture particular and general public opinions, allowing individual or collective behavioral predictions. This also raises many challenges, on capturing, interpreting and representing such behavioral aspects. While scientific communities face now new paradigms, such as designing emotion-driven systems, dynamicity of social networks, and integrating personalized data with public knowledge bases, the business world looks for marketing and financial prediction.
HUSO 2015, The First International Conference on Human and Social Analytics, is an inaugural event bridging the concepts and the communities dealing with emotion-driven systems, sentiment analysis, personalized analytics, social human analytics, and social computing.
We solicit both academic, research, and industrial contributions. We welcome technical papers presenting research and practical results, position papers addressing the pros and cons of specific proposals, such as those being discussed in the standard fora or in industry consortia, survey papers addressing the key problems and solutions on any of the above topics short papers on work in progress, and panel proposals.
Industrial presentations are not subject to the format and content constraints of regular submissions. We expect short and long presentations that express industrial position and status.
Tutorials on specific related topics and panels on challenging areas are encouraged.
The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.
EMOTION BASICS
Modeling and capturing and representing online emotions
Knowledge representation and reasoning about emotions
Emotional behavior in human-computer interaction
Sentiment and emotion summarization and visualization
Emotional behavior modeling and ontologies
Capturing emotions in sounds and music computing
Expressing emotions in interactive entertainment
Expressing emotions in multimedia and multimodal systems
Emotional behavior in storytelling
Emotions in geographical and cultural heritage
EMOTION-DRIVEN SYSTEMS
Requirements engineering for emotions
Representation of emotionally-oriented requirements
Software design and programming of emotionally-oriented systems
Affective computing approaches to software development
Appropriation and deployment of emotionally-oriented systems
Software processes and practice for emotionally-oriented systems
Case studies relating information systems and emotions
Ethics in emotion-driven systems
SENTIMENT ANALYSIS
Mining opinion with explicit/implicit, regular/ irregular, syntactical and semantic rules
Ontologies and knowledge bases for sentiment analysis
Baselines and datasets for semantic sentiment analysis
Concept-level sentiment analysis
Expressions with latent semantics
Sentiment-based indexing, search and retrieval in social networks
Subjectivity, sentiment and emotion detection in social networks
Evolution of sentiment within and across social media systems and topics
Topic based and entity based sentiment analysis
Semantic processing of social media for sentiment analysis
Comparison of semantic approaches for sentiment analysis
Prediction of sentiment towards events, people, organizations
SOCIAL HUMAN ANALYTICS
Humanistic data collection and interpretation
Context-centric social multimedia discovery and collection
Semantic web technologies for subjectivity and social analysis
Social and expressive media corpora and annotations
Creative language (humor, irony, metaphor, etc.) in social networks
Dynamicity of social event detection
Social network and interaction analysis around places and events
Social media visualization and aggregation of places and events
Event-based and location-based storytelling using social media
Interactive social media applications
Sentiment and engagement analysis using social media
Mobile social networking applications
Collaborative multimedia content production
Social poor-quality arguments
Social fuzzy thinking
Online critical literacy
Linked argumented data
Complex annotation tools and interfaces
Linguistic variation and non-standard or historical use of language
Automatic creation of social semantic resources
PERSONALIZED HUMAN ANALYTICS
Mining personalized opinions
Individual versus collective behavior models
Data-driven profiling/ personalization
User modeling, personalization and linked data
Behavior and context prediction
Gesture recognition
Person-centric reasoning
Web access patterns analysis
Speech and audio data profiling
Personalized ontologies, ontology matching, and alignment
Personalized sentiment analysis
Connecting personalized opinions across blogs, social media, news sites, …..
Balancing privacy/security/reliability/utility/usability of personal data
Multiple patterns extraction across personalized data
Integrating personalized data with public knowledge bases
Interactive dashboards of heterogeneous personalized data
SOCIAL COMPUTING
Social applications, services and technologies
Social computing for citizen engagement
Smart cities and social computing
Urban knowledge and social computing for community participation
Social computing and quality of living
Social analytics and societal behavior for prediction and urban optimization
Social computing and social networks
Social computing and personalized behavior
Social Sensing
Humans and agents of social computing
Citizen incentive for social computing services
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