Using Stylistic Features for Social Power Modeling
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| Format: | Artículo científico |
| Sprache: | en |
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Instituto Politécnico Nacional
2013
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| _version_ | 1876473769337290752 |
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| author | Rachel Cotterill |
| author_facet | Rachel Cotterill |
| contents | Using Stylistic Features for Social Power Modeling Rachel Cotterill Computación stylistics text mining social power modeling Social network analysis Social Network Analysis traditionally examines the graph of a communications network to identify key individuals based on the pattern of their interactions, but there is a limit to the level of detail which can be inferred from metadata alone. Message content is a richer source of data, and can provide an indication of the relationship between a pair of communicants. An individual’s language use will vary depending on their relationship to the addressee, and this paper investigates a set of stylistic features which may be used to predict the nature of a relationship within an organizational hierarchy. Experiments are conducted on the Enron corpus for the sake of comparison with earlier results, and demonstrate successful classification of upspeak vs. downspeak using a small feature set. 2013 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61527437012 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.2 Vol.17 |
| format | Artículo científico |
| id | redalyc_61527437012 |
| institution | Redalyc |
| language | en |
| publishDate | 2013 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | Using Stylistic Features for Social Power Modeling Rachel Cotterill Computación stylistics text mining social power modeling Social network analysis Using Stylistic Features for Social Power Modeling Rachel Cotterill Computación stylistics text mining social power modeling Social network analysis Social Network Analysis traditionally examines the graph of a communications network to identify key individuals based on the pattern of their interactions, but there is a limit to the level of detail which can be inferred from metadata alone. Message content is a richer source of data, and can provide an indication of the relationship between a pair of communicants. An individual’s language use will vary depending on their relationship to the addressee, and this paper investigates a set of stylistic features which may be used to predict the nature of a relationship within an organizational hierarchy. Experiments are conducted on the Enron corpus for the sake of comparison with earlier results, and demonstrate successful classification of upspeak vs. downspeak using a small feature set. 2013 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61527437012 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.2 Vol.17 |
| title | Using Stylistic Features for Social Power Modeling |
| topic | Computación stylistics text mining social power modeling Social network analysis |
| url | https://www.redalyc.org/articulo.oa?id=61527437012 |