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Twitter trending topics meaning disambiguation
conference contribution
posted on 2023-05-23, 09:52 authored by Han, SC, Hyunsuk Chung, Kim, DH, Lee, S, Byeong KangByeong KangTwitter is one of the most popular social media services that allow users to share and spread information. Twitter monitors their users’ postings and detects the most discussed topics of the moment. Then, they publish these topics on the list, called ‘Trending Topics’. Trending Topics on Twitter shows the list of top 10 trending topics but each topic consists of short phrase or keyword, which does not contain any explanation of those meanings. It is almost impossible to identify what a trending topic is about unless you read all related tweets. The goal of this paper is finding the most successful method that uses to retrieve the representative contents of trending topics in order to disambiguate the meaning of topics. We first collected the trending topics and tweets related to them. Then, we applied four types of information retrieval approaches (key factor extraction, named entity recognition, topic modelling, and automatic summarization) for extracting the representative contents of trending topics. We conducted human experiments with 20 postgraduate students.
History
Publication title
Lecture Notes in Artificial Intelligence 8863: Proceedings of the 13th Pacific Rim Knowledge Acquisition Workshop (PKAW2014)Volume
8863Editors
YS Kim, BH Kang, D RichardsPagination
126-137ISSN
0302-9743Department/School
School of Information and Communication TechnologyPublisher
Springer International PublishingPlace of publication
SwitzerlandEvent title
13th Pacific Rim Knowledge Acquisition Workshop (PKAW 2014)Event Venue
Gold Coast, AustraliaDate of Event (Start Date)
2014-12-01Date of Event (End Date)
2014-12-02Rights statement
Copyright 2014 Springer International Publishing SwitzerlandRepository Status
- Restricted