Co-Occurrence-Based Double Thresholding Method for Research Topic Identification
Identifying possible research gaps is a main step in problem framing, however it is increasingly tedious and expensive considering the continuously growing amount of published material. This situation suggests the critical need for methodologies and tools that can assist researchers in their selecti...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/10/17/3115 |
| _version_ | 1797494351747612672 |
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| author | Christian-Daniel Curiac Alex Doboli Daniel-Ioan Curiac |
| author_facet | Christian-Daniel Curiac Alex Doboli Daniel-Ioan Curiac |
| author_sort | Christian-Daniel Curiac |
| collection | DOAJ |
| description | Identifying possible research gaps is a main step in problem framing, however it is increasingly tedious and expensive considering the continuously growing amount of published material. This situation suggests the critical need for methodologies and tools that can assist researchers in their selection of future research topics. Related work mostly focuses on trend analysis and impact prediction but less on research gap identification. This paper presents our first approach in automated identification of feasible research gaps by using a double-threshold procedure to eliminate the research gaps that are currently difficult to study or offer little novelty. Gaps are then found by extracting subgraphs for the less-frequent co-occurrences and correlations of key terms describing domains. A case study applying the methodology for electronic design automation (EDA) domain is also discussed in the paper. |
| first_indexed | 2024-03-10T01:33:02Z |
| format | Article |
| id | doaj.art-d941a1c676d8476eb829ef6bb050c564 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-10T01:33:02Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-d941a1c676d8476eb829ef6bb050c5642023-11-23T13:38:38ZengMDPI AGMathematics2227-73902022-08-011017311510.3390/math10173115Co-Occurrence-Based Double Thresholding Method for Research Topic IdentificationChristian-Daniel Curiac0Alex Doboli1Daniel-Ioan Curiac2Department of Computer and Information Technology, Politehnica University of Timisoara, V. Parvan 2, 300223 Timisoara, RomaniaDepartment of Electrical and Computer Engineering, Stony Brook University, State University of New York, Stony Brook, NY 11794-2350, USADepartment of Automation and Applied Informatics, Politehnica University of Timisoara, V. Parvan 2, 300223 Timisoara, RomaniaIdentifying possible research gaps is a main step in problem framing, however it is increasingly tedious and expensive considering the continuously growing amount of published material. This situation suggests the critical need for methodologies and tools that can assist researchers in their selection of future research topics. Related work mostly focuses on trend analysis and impact prediction but less on research gap identification. This paper presents our first approach in automated identification of feasible research gaps by using a double-threshold procedure to eliminate the research gaps that are currently difficult to study or offer little novelty. Gaps are then found by extracting subgraphs for the less-frequent co-occurrences and correlations of key terms describing domains. A case study applying the methodology for electronic design automation (EDA) domain is also discussed in the paper.https://www.mdpi.com/2227-7390/10/17/3115research gapnatural language processingco-occurrence matrixdouble-thresholding method |
| spellingShingle | Christian-Daniel Curiac Alex Doboli Daniel-Ioan Curiac Co-Occurrence-Based Double Thresholding Method for Research Topic Identification Mathematics research gap natural language processing co-occurrence matrix double-thresholding method |
| title | Co-Occurrence-Based Double Thresholding Method for Research Topic Identification |
| title_full | Co-Occurrence-Based Double Thresholding Method for Research Topic Identification |
| title_fullStr | Co-Occurrence-Based Double Thresholding Method for Research Topic Identification |
| title_full_unstemmed | Co-Occurrence-Based Double Thresholding Method for Research Topic Identification |
| title_short | Co-Occurrence-Based Double Thresholding Method for Research Topic Identification |
| title_sort | co occurrence based double thresholding method for research topic identification |
| topic | research gap natural language processing co-occurrence matrix double-thresholding method |
| url | https://www.mdpi.com/2227-7390/10/17/3115 |
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