Hierarchical classification of e-commerce related social media

Matthew Long; Aditya Jami; Ashutosh Saxena

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arXiv · 1511.08299

Hierarchical classification of e-commerce related social media

Matthew Long·Aditya Jami·Ashutosh Saxena

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Abstract

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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Matthew Long, Aditya Jami, Ashutosh Saxena. 2015-11-26. Hierarchical classification of e-commerce related social media. https://arxiv.org/abs/1511.08299

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