Probabilistic latent semantic analyses (plsa) in bibliometric analysis for technology forecasting
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| Format: | Artículo científico |
| Language: | en |
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Universidad Alberto Hurtado
2007
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| _version_ | 1876422361818857472 |
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| author | Zan Wang |
| author_facet | Zan Wang |
| contents | Probabilistic latent semantic analyses (plsa) in bibliometric analysis for technology forecasting Zan Wang Y.C. Tsim W.S. Yeung K.C. Chan Jinlan Liu Ingeniería Bibliometric analysis technology forecasting latent semantic analysis probabilistic latent semantic analysis Due to the availability of internet-based abstract services and patent databases, bibliometric analysis has become one of key technology forecasting approaches. Recently, latent semantic analysis (LSA) has been applied to improve the accuracy in document clustering. In this paper, a new LSA method, probabilistic latent semantic analysis (PLSA) which uses probabilistic methods and algebra to search latent space in the corpus is further applied in document clustering. The results show that PLSA is more accurate than LSA and the improved iteration method proposed by authors can simplify the computing process and improve the computing efficiency. Probabilistic Latent Semantic Analyses (PLSA) in Bibliometric Analysis for Technology Forecasting 2007 artículo científico 0718-2724 https://www.redalyc.org/articulo.oa?id=84720103 en http://www.redalyc.org/revista.oa?id=847 Journal of Technology Management & Innovation application/pdf Universidad Alberto Hurtado Journal of Technology Management & Innovation (Chile) Num.1 Vol.2 |
| format | Artículo científico |
| id | redalyc_84720103 |
| institution | Redalyc |
| language | en |
| publishDate | 2007 |
| publisher | Universidad Alberto Hurtado |
| spellingShingle | Probabilistic latent semantic analyses (plsa) in bibliometric analysis for technology forecasting Zan Wang Ingeniería Bibliometric analysis technology forecasting latent semantic analysis probabilistic latent semantic analysis Probabilistic latent semantic analyses (plsa) in bibliometric analysis for technology forecasting Zan Wang Y.C. Tsim W.S. Yeung K.C. Chan Jinlan Liu Ingeniería Bibliometric analysis technology forecasting latent semantic analysis probabilistic latent semantic analysis Due to the availability of internet-based abstract services and patent databases, bibliometric analysis has become one of key technology forecasting approaches. Recently, latent semantic analysis (LSA) has been applied to improve the accuracy in document clustering. In this paper, a new LSA method, probabilistic latent semantic analysis (PLSA) which uses probabilistic methods and algebra to search latent space in the corpus is further applied in document clustering. The results show that PLSA is more accurate than LSA and the improved iteration method proposed by authors can simplify the computing process and improve the computing efficiency. Probabilistic Latent Semantic Analyses (PLSA) in Bibliometric Analysis for Technology Forecasting 2007 artículo científico 0718-2724 https://www.redalyc.org/articulo.oa?id=84720103 en http://www.redalyc.org/revista.oa?id=847 Journal of Technology Management & Innovation application/pdf Universidad Alberto Hurtado Journal of Technology Management & Innovation (Chile) Num.1 Vol.2 |
| title | Probabilistic latent semantic analyses (plsa) in bibliometric analysis for technology forecasting |
| topic | Ingeniería Bibliometric analysis technology forecasting latent semantic analysis probabilistic latent semantic analysis |
| url | https://www.redalyc.org/articulo.oa?id=84720103 |