Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fit or Unfit : Analysis and Prediction of 'Closed Questions' on Stack
  Overflow   Stack Overflow is widely regarded as the most popular Community driven
Question Answering (CQA) website for programmers. Questions posted on Stack
Overflow which are not related to programming topics, are marked as 'closed' by
experienced users and community moderators. A question can be 'closed' for five
reasons - duplicate, off-topic, subjective, not a real question and too
localized. In this work, we present the first study of 'closed' questions in
Stack Overflow. We download 4 years of publicly available data which contains
3.4 Million questions. We first analyze and characterize the complete set of
0.1 Million 'closed' questions. Next, we use a machine learning framework and
build a predictive model to identify a 'closed' question at the time of
question creation.
  One of our key findings is that despite being marked as 'closed', subjective
questions contain high information value and are very popular with the users.
We observe an increasing trend in the percentage of closed questions over time
and find that this increase is positively correlated to the number of newly
registered users. In addition, we also see a decrease in community
participation to mark a 'closed' question which has led to an increase in
moderation job time. We also find that questions closed with the Duplicate and
Off Topic labels are relatively more prone to reputation gaming. For the
'closed' question prediction task, we make use of multiple genres of feature
sets based on - user profile, community process, textual style and question
content. We use a state-of-art machine learning classifier based on an ensemble
learning technique and achieve an overall accuracy of 73%. To the best of our
knowledge, this is the first experimental study to analyze and predict 'closed'
questions on Stack Overflow.

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The categories of this paper are: stat
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The categories of this paper are: nucl-th
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The categories of this paper are: dg-ga
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The categories of this paper are: ao-sci
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The categories of this paper are: acc-phys
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The categories of this paper are: q-alg
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The categories of this paper are: math
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The categories of this paper are: atom-ph
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The categories of this paper are: quant-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: patt-sol
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The categories of this paper are: q-fin
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The categories of this paper are: chao-dyn
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The categories of this paper are: nucl-ex
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The categories of this paper are: supr-con
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The categories of this paper are: chem-ph