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Title:
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USING NARBS FOR POLITICAL PREDICTION |
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Author(s):
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Ananda Mitra, Vibodh Parthasarathi, Sanjay Mamani |
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ISBN:
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978-989-8533-32-6 |
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Editors:
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Piet Kommers and Pedro Isaías |
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Year:
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2015 |
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Edition:
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Single |
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Keywords:
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narb; big data; discourse; narrative; analysis, politics, vote, prediction. |
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Type:
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Short Paper |
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First Page:
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274 |
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Last Page:
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278 |
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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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There is an increasing availability of unstructured textual data in the depositories of big databases that are constantly produced and updated. Such unstructured data, such as tweets from journalists and their followers play the role of narrative bits narbs in creating specific stories about an individual, group or institution. A selection of narbs emanating from a set of followers of the tweets of prominent journalists in India are analyzed using the theoretical foundation of the narrative paradigm to demonstrate how analytic protocols adapted from Latent Sematic Analysis and Natural Language Programming can be used to political outcomes. |
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