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Word synonym relationships for text analysis: A graph-based approach
- Source :
- PLoS ONE, Vol 16, Iss 7, p e0255127 (2021), PLoS ONE
- Publication Year :
- 2021
- Publisher :
- Public Library of Science (PLoS), 2021.
-
Abstract
- Keyword extraction refers to the process of detecting the most relevant terms and expressions in a given text in a timely manner. In the information explosion era, keyword extraction has attracted increasing attention. The importance of keyword extraction in text summarization, text comparisons, and document categorization has led to an emphasis on graph-based keyword extraction techniques because they can capture more structural information compared to other classic text analysis methods. In this paper, we propose a simple unsupervised text mining approach that aims to extract a set of keywords from a given text and analyze its topic diversity using graph analysis tools. Initially, the text is represented as a directed graph using synonym relationships. Then, community detection and other measures are used to identify keywords in the text. The set of extracted keywords is used to assess topic diversity within the text and analyze its sentiment. The proposed approach relies on grouping semantically similar candidate words. This approach ensures that the set of extracted keywords is comprehensive. Differing from other graph-based keyword extraction approaches, the proposed method does not require user parameters during graph construction and word scoring. The proposed approach achieved significant results compared to other keyword extraction techniques.
- Subjects :
- Power graph analysis
Word embedding
Physiology
Computer science
Information Theory
Social Sciences
02 engineering and technology
computer.software_genre
Sociology
Synonym (database)
0202 electrical engineering, electronic engineering, information engineering
Centrality
Data Mining
Language
Extraction Techniques
Multidisciplinary
Social Communication
Directed graph
Semantics
Social Networks
Physiological Parameters
Physical Sciences
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING
Graph (abstract data type)
Medicine
020201 artificial intelligence & image processing
Information Technology
Network Analysis
Algorithms
Natural language processing
Research Article
Computer and Information Sciences
Science
Twitter
Keyword extraction
Research and Analysis Methods
Text mining
Clustering Coefficients
Word Embedding
Obesity
Natural Language Processing
business.industry
Body Weight
Biology and Life Sciences
Linguistics
020206 networking & telecommunications
Automatic summarization
Communications
Lexical Semantics
Graph Theory
Artificial intelligence
business
Social Media
computer
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 16
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....3ec6c7d43e58f42179548f9405f3626c