Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Is it a click bait? Let's predict using Machine Learning   In this era of digitisation, news reader tend to read news online. This is
because, online media instantly provides access to a wide variety of content.
Thus, people don't have to wait for tomorrow's newspaper to know what's
happening today. Along with these virtues, online news have some vices as well.
One such vice is presence of social media posts (tweets) relating to news
articles whose sole purpose is to draw attention of the users rather than
directing them to read the actual content. Such posts are referred to as
clickbaits. The objective of this project is to develop a system which would be
capable of predicting how likely are the social media posts (tweets) relating
to new articles tend to be clickbait.

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The categories of this paper are: physics
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The categories of this paper are: math-ph
11
The categories of this paper are: hep-lat
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The categories of this paper are: chem-ph
15
The categories of this paper are: nucl-ex
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The categories of this paper are: solv-int
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The categories of this paper are: hep-th
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The categories of this paper are: chao-dyn
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The categories of this paper are: gr-qc
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The categories of this paper are: astro-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: econ
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The categories of this paper are: dg-ga
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The categories of this paper are: patt-sol
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The categories of this paper are: acc-phys
13
The categories of this paper are: quant-ph