Automated detection of non-relevant posts on the russian imageboard “2ch”: Importance of the choice of word representations

Amir Bakarov, Olga Gureenkova

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

1 Citation (Scopus)

Abstract

This study considers the problem of automated detection of non-relevant posts on Web forums and discusses the approach of resolving this problem by approximation it with the task of detection of semantic relatedness between the given post and the opening post of the forum discussion thread. The approximated task could be resolved through learning the supervised classifier with a composed word embeddings of two posts. Considering that the success in this task could be quite sensitive to the choice of word representations, we propose a comparison of the performance of different word embedding models. We train 7 models (Word2Vec, Glove, Word2Vec-f, Wang2Vec, AdaGram, FastText, Swivel), evaluate embeddings produced by them on dataset of human judgements and compare their performance on the task of non-relevant posts detection. To make the comparison, we propose a dataset of semantic relatedness with posts from one of the most popular Russian Web forums, imageboard “2ch”, which has challenging lexical and grammatical features.

Original languageEnglish
Title of host publicationAnalysis of Images, Social Networks and Texts - 6th International Conference, AIST 2017, Revised Selected Papers
EditorsWMP VanDerAalst, DI Ignatov, M Khachay, SO Kuznetsov, Lempitsky, IA Lomazova, N Loukachevitch, A Napoli, A Panchenko, PM Pardalos, AV Savchenko, S Wasserman
PublisherSpringer-Verlag GmbH and Co. KG
Pages16-21
Number of pages6
ISBN (Print)9783319730127
DOIs
Publication statusPublished - 1 Jan 2018
Event6th International Conference on Analysis of Images, Social Networks and Texts, AIST 2017 - Moscow, Russian Federation
Duration: 27 Jul 201729 Jul 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10716 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Analysis of Images, Social Networks and Texts, AIST 2017
CountryRussian Federation
CityMoscow
Period27.07.201729.07.2017

Keywords

  • 2ch
  • Compositional semantics
  • Distributional semantics
  • Imageboard
  • Semantic relatedness
  • Word embeddings
  • Word similarity
  • Word similarity Word embeddings
  • Compositional semantics 2ch

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