Development of domains and keyphrases along years

Yaakov HaCohen-Kerner, Meir Hassan

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

Abstract

This paper presents a methodology (including a detailed algorithm, various development concepts and measures, and stopword lists) for measuring the development of domains and keyphrases along years. The examined corpus contains 1020 articles that were accepted for full presentation in PACLIC along the last 18 years. The experimental results for 5 chosen domains (digital humanities, language resources, machine translation, sentiment analysis and opinion mining, and social media) suggest that development trends of domains and keyphrases can be efficiently measured. Top bigrams and trigrams were found as efficient to identify general trends in NLP domains.

Original languageEnglish
Title of host publicationKDIR 2016 - 8th International Conference on Knowledge Discovery and Information Retrieval
EditorsAna Fred, Jan Dietz, David Aveiro, Kecheng Liu, Jorge Bernardino, Joaquim Filipe, Joaquim Filipe
PublisherSciTePress
Pages375-383
Number of pages9
ISBN (Electronic)9789897582035
DOIs
StatePublished - 2016
Externally publishedYes
Event8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2016 - Porto, Portugal
Duration: 9 Nov 201611 Nov 2016

Publication series

NameIC3K 2016 - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Volume1

Conference

Conference8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2016
Country/TerritoryPortugal
CityPorto
Period9/11/1611/11/16

Keywords

  • Development Concepts
  • Development Model
  • Keyphrases
  • NLP Domains
  • Trends
  • Word Bigrams and Trigrams.

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