NDLI: Proceedings of the First International Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM '12)

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A Bayesian modeling approach to multi-dimensional sentiment distributions prediction

A unified graph model for Chinese product review summarization using richer information

Transverse subjectivity classification

Retrieval approach to extract opinions about people from resource scarce language news articles

Combining lexicon and learning based approaches for concept-level sentiment analysis

Predicting collective sentiment dynamics from time-series social media

A generic approach to generate opinion lists of phrases for opinion mining applications

Finding emotion in image descriptions

Crowdsourcing recommendations from social sentiment

Fast learning for sentiment analysis on bullying

Proceedings of the First International Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM '12)

Content Provider	ACM Digital Library
Editor	Xia, Yunqing Howard, Newton Cambria, Erik Zhang, Yongzheng
Copyright Year	2012
Abstract	The exponential growth of the Social Web is virally infecting more and more critical business processes such as customer support and satisfaction, brand and reputation management, product design and marketing. Because of this global trend, web users already evolved from the era of social relationships, in which they began to get connected and started to share contents, to the era of social functionality, in which they started using social networks as the main platform for communication and dissemination of information. Today, web users are going through the era of social colonization, in which every experience on the Web can be social (e.g., Facebook Like button), and are getting ready for the era of social context, in which web contents will be highly targeted and personalized. The final stage of such Social Web evolution is the so called era of social commerce, in which communities will define future products and services. In such context, the research field of sentiment analysis, which has already been rapidly growing in the last decade, is destined to become more and more important for Web and business dynamics. To this end, the First International Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM 2012: http://sentic.net/wisdom/) aims to explore how the wisdom of the crowds is affecting (and will affect) the evolution of the Web and of businesses gravitating around it. In particular, the workshop explores two different stages of sentiment analysis: the former focusing on the identification of opinionated text over the Web, the latter focusing on the classification of such text either in terms of polarity detection or emotion recognition.
Related Links	http://sentic.net/wisdom/
ISBN	9781450315432
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-08-12
Access Restriction	Subscribed
Content Type	Text
Resource Type	Conference Proceedings

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