Automatic discovering success factor relationship entities in articles using named entity recognition

Conference proceedings article

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Publication Details

Author list: Niboonkit S., Krathu W., Padungweang P.

Publisher: Hindawi

Publication year: 2017

Start page: 238

End page: 241

Number of pages: 4

ISBN: 9781467390774

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017499204&doi=10.1109%2fKST.2017.7886123&partnerID=40&md5=3f49da280817616b24e10faace79b30d

Languages: English-Great Britain (EN-GB)

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Abstract

An understanding of success factor relationships in the context of business-to-business where Inter-organizational Relationship (IORs) between organizations is crucial for effective strategic management to accomplish marketing goals. Several studies regarding those success factors and their influences have been conducted and published as articles. We apply the technique of Named Entity Recognition and find a suitable model for extracting the entities of success factors. The appropriate model needs only 60 research abstracts and the performance as high as 0.9 is achievable. Furthermore, we find that there is no significant improvement affected by applying sentence normalization. ฉ 2017 IEEE.

Keywords

Business Process, Named Entities Recognition