Analysis and support of lifestyle via emotions using social media
SocInfo'12 Proceedings of the 4th international conference on Social Informatics
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In the past years, the quantity of contents generated by users on the Web, in social networking sites, fora and microblogs has reached an unprecedented level. All this data adds on to the contents generated in traditional media, such as newspapers, bringing additional factual, as well as a high quantity of opinionated and subjective information. In the context of the society in which we live, where sifting through the immense quantities of information to gather knowledge has become a must, the challenge of processing opinionated and subjective information is becoming more and more a focus to the Natural Language Processing (NLP) research communities worldwide. In the past decade, the interest in proposing computational methods to deal with subjectivity and sentiment in text has grown constantly from the NLP community. However, although the subjectivity and sentiment analysis research fields have been highly dynamic in this period, much remains still to be done, so that systems dealing with subjectivity, sentiment and, more generally, affect in text, can be reliably used in critical decision-making environments. Moreover, the new means of communication and user connection, in microblogs and social networks, become more and more relevant to these two tasks, as the contexts (internal and external) of the information communication process bring about new challenges and applications to be explored.