Authors:
Yaakov HaCohen-Kerner
and
Meir Hassan
Affiliation:
Jerusalem College of Technology (Machon Lev), Israel
Keyword(s):
Development Concepts, Development Model, NLP Domains, Keyphrases, Trends, Word Bigrams and Trigrams.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Data Analytics
;
Data Engineering
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Mining Text and Semi-Structured Data
;
Symbolic Systems
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.