Deep learning in exploring semantic relatedness for microblog dimensionality reduction

Lei Xu, Chunxiao Jiang, Yong Ren

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Mining the large volume textual data produced by microblogging services has attracted much attention in recent years. An important preprocessing step of microblog text mining is to convert natural language texts into proper numerical representations. Due to the short-length characteristic, finding proper representations of microblog texts is nontrivial. In this paper, we propose to build deep network-based models to learn low-dimensional representations of microblog texts. The proposed models take advantage of the semantic relatedness derived from two types of microblog-specific information, namely the retweet relationship and hashtags. Experiment results show that the deep models perform better than traditional dimensionality reduction methods such as latent semantic analysis and latent Dirichlet allocation topic model, and the use of microblog-specific information can help to learn better representations.

Original languageEnglish
Title of host publication2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages98-102
Number of pages5
ISBN (Electronic)9781479975914
DOIs
Publication statusPublished - 23 Feb 2016
Externally publishedYes
EventIEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 - Orlando, United States
Duration: 13 Dec 201516 Dec 2015

Publication series

Name2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015

Conference

ConferenceIEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
Country/TerritoryUnited States
CityOrlando
Period13/12/1516/12/15

Keywords

  • autoencoder
  • deep learning
  • dimensionality reduction
  • microblog mining
  • text representation

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Xu, L., Jiang, C., & Ren, Y. (2016). Deep learning in exploring semantic relatedness for microblog dimensionality reduction. In 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 (pp. 98-102). Article 7418164 (2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP.2015.7418164