Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Dynamic and Cooperative Tracking System for Crowdfunding   Crowdfunding is an emerging finance platform for creators to fund their
efforts by soliciting relatively small contributions from a large number of
individuals using the Internet. Due to the unique rules, a campaign succeeds in
trading only when it collects adequate funds in a given time. To prevent
creators and backers from wasting time and efforts on failing campaigns,
dynamically estimating the success probability of a campaign is very important.
However, existing crowdfunding systems neither have the mechanism of dynamic
predictive tracking, nor provide the real-time campaign status for creators and
backers on the platform. To address these issues, we develop a novel system,
which contains a dynamic data-driven approach to tracking the success
probability and status. We demonstrate the following scenarios using our
system. First, users can utilize our system to analyze the emotion of
incremental reviews so as to understand backers' perspectives of the campaign
in time. Meanwhile, our system visualizes the statistic number of positive and
negative reviews. On this basis, our system can dynamically track the success
probability of each campaign.

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The categories of this paper are: eess
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The categories of this paper are: patt-sol
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The categories of this paper are: nucl-th
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The categories of this paper are: adap-org
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The categories of this paper are: hep-th
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The categories of this paper are: physics
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The categories of this paper are: gr-qc
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The categories of this paper are: solv-int
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The categories of this paper are: acc-phys
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The categories of this paper are: hep-lat
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The categories of this paper are: chao-dyn
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The categories of this paper are: cmp-lg
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The categories of this paper are: q-fin
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The categories of this paper are: math
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The categories of this paper are: math-ph
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The categories of this paper are: quant-ph