Company name disambiguation in tweets: A two-step filtering approach

M. Atif Qureshi, Arjumand Younus, Colm O’Riordan, Gabriella Pasi

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

Abstract

Using Twitter as an effective marketing tool has become a gold mine for companies interested in their online reputation. A quite significant research challenge related to the above issue is to disambiguate tweets with respect to company names. In fact, finding if a particular tweet is relevant or irrelevant to a company is an important task not satisfactorily solved yet; to address this issue in this paper we propose a Wikipedia-based two-step filtering algorithm. As opposed to most other methods, the proposed approach is fully automatic and does not rely on hand-coded rules. The first step is a precision-oriented pass that uses Wikipedia as an external knowledge source to extract pertinent terms and phrases from certain parts of company Wikipedia pages, and use these as weighted filters to identify tweets about a given company. The second pass expands the first to increase recall by including more terms from URLs in tweets, Twitter user profile information and hashtags. The approach is evaluated on a CLEF lab dataset, showing good performance - especially for English tweets.

Original languageEnglish
Title of host publicationInformation Retrieval Technology - 11th Asia Information Retrieval Societies Conference, AIRS 2015, Proceedings
EditorsFalk Scholer, Guido Zuccon, Shlomo Geva, Aixin Sun, Hideo Joho, Peng Zhang
PublisherSpringer Verlag
Pages358-365
Number of pages8
ISBN (Print)9783319289397
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event11th Asia Information Retrieval Societies Conference, AIRS 2015 - Brisbane, Australia
Duration: 2 Dec 20154 Dec 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9460
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th Asia Information Retrieval Societies Conference, AIRS 2015
Country/TerritoryAustralia
CityBrisbane
Period2/12/154/12/15

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