Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Predicting the NFL using Twitter   We study the relationship between social media output and National Football
League (NFL) games, using a dataset containing messages from Twitter and NFL
game statistics. Specifically, we consider tweets pertaining to specific teams
and games in the NFL season and use them alongside statistical game data to
build predictive models for future game outcomes (which team will win?) and
sports betting outcomes (which team will win with the point spread? will the
total points be over/under the line?). We experiment with several feature sets
and find that simple features using large volumes of tweets can match or exceed
the performance of more traditional features that use game statistics.

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The categories of this paper are: nlin
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The categories of this paper are: cmp-lg
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The categories of this paper are: solv-int
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The categories of this paper are: cond-mat
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The categories of this paper are: acc-phys
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The categories of this paper are: bayes-an
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The categories of this paper are: quant-ph
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The categories of this paper are: comp-gas
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The categories of this paper are: dg-ga
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The categories of this paper are: q-fin
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The categories of this paper are: patt-sol
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The categories of this paper are: alg-geom
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The categories of this paper are: astro-ph
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The categories of this paper are: q-bio
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The categories of this paper are: chem-ph
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The categories of this paper are: ao-sci