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Abstract
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| This paper presents an approach to compare two types of data, subjective data (Polarity of Pan American Games 2011 event by country) and objective data (the number of medals won by each participating country), based on the Pearson correlation. When dealing with events described by people, knowledge acquisition is difficult because their structure is heterogeneous and subjective. A first step towards knowing the polarity of the information provided by people consists in automatically classifying the posts into clusters according to their polarity. The authors carried out a set of experiments using a corpus that consists of 5600 posts extracted from 168 Internet resources related to a specific event: the 2011 Pan American games. The approach is based on four components: a crawler, a filter, a synthesizer and a polarity analyzer. The PanAmerican approach automatically classifies the polarity of the event into clusters with the following results: 588 positive, 336 neutral, and 76 negative. Our work found out that the polarity of the content produced was strongly influenced by the results of the event with a correlation of .74. Thus, it is possible to conclude that the polarity of content is strongly affected by the results of the event. Finally, the accuracy of the PanAmerican approach is: .87, .90, and .80 according to the precision of the three classes of polarity evaluated. | |
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International
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Si |
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Congress
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IMMM 2013, The Third International Conference on Advances in Information Mining and Management |
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960 |
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Place
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Lisbon, Portugal |
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Reviewers
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Si |
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ISBN/ISSN
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978-1-61208-311-7 |
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Start Date
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17/11/2013 |
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End Date
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21/11/2013 |
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From page
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51 |
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To page
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58 |
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Proceedings of The Third International Conference on Advances in Information Mining and Management |