By a News Reporter-Staff News Editor at Information Technology Newsweekly -- A new study on Information Technology is now available. According to news reporting out of Wolverhampton, United Kingdom, by VerticalNews editors, research stated, "General sentiment analysis for the social web has become increasingly useful for shedding light on the role of emotion in online communication and offline events in both academic research and data journalism. Nevertheless, existing general-purpose social web sentiment analysis algorithms may not be optimal for texts focussed around specific topics."
Our news journalists obtained a quote from the research from the University of Wolverhampton, "This article introduces 2 new methods, mood setting and lexicon extension, to improve the accuracy of topic-specific lexical sentiment strength detection for the social web. Mood setting allows the topic mood to determine the default polarity for ostensibly neutral expressive text. Topic-specific lexicon extension involves adding topic-specific words to the default general sentiment lexicon."
According to the news editors, the research concluded: "Experiments with 8 data sets show that both methods can improve sentiment analysis performance in corpora and are recommended when the topic focus is tightest."
For more information on this research see: Topic-based sentiment analysis for the social web: The role of mood and issue-related words. Journal of the American Society for Information Science and Technology, 2013;64(8):1608-1617. Journal of the American Society for Information Science and Technology can be contacted at: Wiley-Blackwell, 111 River St, Hoboken 07030-5774, NJ, USA. (Wiley-Blackwell - www.wiley.com/; Journal of the American Society for Information Science and Technology - onlinelibrary.wiley.com/journal/10.1002/(ISSN)1532-2890)
Our news journalists report that additional information may be obtained by contacting M. Thelwall, Wolverhampton Univ, Sch Technol, Stat Cybermetr Res Grp, Wolverhampton WV1 1SB, United Kingdom. Additional authors for this research include K. Buckley.
Keywords for this news article include: Europe, Wolverhampton, United Kingdom, Information Technology
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