Hierarchical classification of e-commerce related social media

نویسندگان

  • Matthew Long
  • Aditya Jami
  • Ashutosh Saxena
چکیده

In this paper, we attempt to classify tweets into root categories of the Amazon browse node hierarchy using a set of tweets with browse node ID labels, a much larger set of tweets without labels, and a set of Amazon reviews. Examining twitter data presents unique challenges in that the samples are short (under 140 characters) and often contain misspellings or abbreviations that are trivial for a human to decipher but difficult for a computer to parse. A variety of query and document expansion techniques are implemented in an effort to improve information retrieval to modest success.

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عنوان ژورنال:
  • CoRR

دوره abs/1511.08299  شماره 

صفحات  -

تاریخ انتشار 2015