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Title:
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SENTIMENT ANALYSIS IN SOCIAL WEB ENVIRONMENTS ORIENTED TO E-COMMERCE |
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Author(s):
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Luigi Lancieri, Eric Lepretre |
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ISBN:
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978-972-8939-40-3 |
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Editors:
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Piet Kommers, Nik Bessis and Pedro Isaías |
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Year:
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2011 |
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Edition:
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Single |
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Keywords:
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Measure, ambiguity, opinion, sentiment. |
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Type:
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Short Paper |
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First Page:
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192 |
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Last Page:
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196 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The purpose of this paper is to have a better understanding of users behavior in a social web environment. The data used are collected from web sites containing reviews about web merchants. In such sites, users provide a short description of the quality of the merchant as well as a degree of satisfaction. The idea underlying this study is to explore the textual structure (e.g the reviews length) and the perceived ambiguity of the opinion expressed in the reviews. One of the results of this study is that there is a correlation between the degree of satisfaction and the length of the user contribution. The other result is that the ambiguity of the opinion appears to be different when the opinion is positive compared to a negative one. We analyze the meaning of these finding in the growing context of social web interactions. |
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