Automatic term identification for bibliometric mapping
2010-02-11
Article
volume 82, issue 3 pp 581-596.
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A term map is a map that visualizes the structure of a scientific field by showing the relations between important terms in the field. The terms shown in a term map are usually selected manually with the help of domain experts. Manual term selection has the disadvantages of being subjective and labor-intensive. To overcome these disadvantages, we propose a methodology for automatic term identification and we use this methodology to select the terms to be included in a term map. To evaluate the proposed methodology, we use it to construct a term map of the field of operations research. The quality of the map is assessed by a number of operations research experts. It turns out that in general the proposed methodology performs quite well.
Keywords
- Bibliometric mapping
- Operations research
- Automatic term identification
- Probabilistic latent semantic analysis
- Term map
Automatically Extracted Terms
- term map
- methodology
- term identification
- field
- topic
- corpus
- phrase
- expert
- noun phrases
- number
- identification
- research
- van eck
- termhood
- journal
- bibliometric
- approach
- segment
- occurrence
- mapping
