A hierarchical knowledge representation for expert finding on social media

Yanran Li; Wenjie Li; Sujian Li

doi:10.1142/9789813223615_0004

A hierarchical knowledge representation for expert finding on social media

Yanran Li, Wenjie Li, Sujian Li

Research output: Chapter in book / Conference proceeding › Chapter in an edited book (as author) › Academic research › peer-review

Abstract

Expert finding on social media benefits both individuals and commercial services. In this chapter, we exploit a 5-level tree representation to model the posts on social media and cast the expert finding problem to the matching problem between the learned user tree and domain tree. We enhance the traditional approximate tree matching algorithm and incorporate word embeddings to improve the matching result. The experiments conducted on Sina Microblog demonstrate the effectiveness of our work.

Original language	English
Title of host publication	Social Media Content Analysis
Subtitle of host publication	Natural Language Processing and Beyond
Publisher	World Scientific Publishing Co. Pte. Ltd.
Pages	45-54
Number of pages	10
ISBN (Electronic)	9789813223615
ISBN (Print)	9789813223608
DOIs	https://doi.org/10.1142/9789813223615_0004
Publication status	Published - 1 Jan 2017

ASJC Scopus subject areas

General Computer Science

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10.1142/9789813223615_0004

Cite this

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A hierarchical knowledge representation for expert finding on social media. / Li, Yanran; Li, Wenjie; Li, Sujian.
Social Media Content Analysis: Natural Language Processing and Beyond. World Scientific Publishing Co. Pte. Ltd., 2017. p. 45-54.

Research output: Chapter in book / Conference proceeding › Chapter in an edited book (as author) › Academic research › peer-review

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A hierarchical knowledge representation for expert finding on social media

Abstract

ASJC Scopus subject areas

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