Results 271 to 280 of about 726,143 (311)
Text mining and topic modeling insights on fish welfare and antimicrobial use in aquaculture. [PDF]
BMC Vet ResPreviti A +7 more
europepmc +1 more source
Spatio-temporal evolution characteristics, challenges and future perspectives of intelligent health eldercare industry development in China: a spatial analysis and policy text mining from 1982 to 2024. [PDF]
BMC Health Serv ResWang J +9 more
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International Journal of Research Publication and Reviews, 2022
The unstructured texts which contain massive amount of information cannot simply be Used for further processing by computers. Therefore, specific processing methods and Algorithms are required in order to extract useful patterns. The process of extracting Interesting information and knowledge from unstructured text completed by using Text Mining.
Priyanka Reddy, Ms. Deekshitha
+7 more sources
The unstructured texts which contain massive amount of information cannot simply be Used for further processing by computers. Therefore, specific processing methods and Algorithms are required in order to extract useful patterns. The process of extracting Interesting information and knowledge from unstructured text completed by using Text Mining.
Priyanka Reddy, Ms. Deekshitha
+7 more sources
Business Information Review, 2014
Text mining is an umbrella term covering a wide range of software tools, including natural language analysis, use of statistical techniques, and machine learning, designed to extract entities (names of people and places), index terms, and relationships. This article outlines these tools, and describes how text mining is being applied in enterprises to
M. Krallinger +3 more
+4 more sources
Text mining is an umbrella term covering a wide range of software tools, including natural language analysis, use of statistical techniques, and machine learning, designed to extract entities (names of people and places), index terms, and relationships. This article outlines these tools, and describes how text mining is being applied in enterprises to
M. Krallinger +3 more
+4 more sources
Proceedings of the 43rd annual Southeast regional conference - Volume 1, 2005
Identification of articles related to a particular domain is addressed by Text Mining. This paper demonstrates the benefits of combining classification and clustering towards achieving the goal of grouping very closely related articles/documents. Classification chaffs out the articles which do not belong to the domain of interest and clustering forms ...
Sholom M. Weiss +3 more
openaire +2 more sources
Identification of articles related to a particular domain is addressed by Text Mining. This paper demonstrates the benefits of combining classification and clustering towards achieving the goal of grouping very closely related articles/documents. Classification chaffs out the articles which do not belong to the domain of interest and clustering forms ...
Sholom M. Weiss +3 more
openaire +2 more sources
2009
Giving a broad perspective of the field from numerous vantage points, Text Mining focuses on statistical methods for text mining and analysis. It examines methods to automatically cluster and classify text documents and applies these methods in a variety of areas, including adaptive information filtering, information distillation, and text search.
Yanli Cai, Jian-Tao Sun
openaire +2 more sources
Giving a broad perspective of the field from numerous vantage points, Text Mining focuses on statistical methods for text mining and analysis. It examines methods to automatically cluster and classify text documents and applies these methods in a variety of areas, including adaptive information filtering, information distillation, and text search.
Yanli Cai, Jian-Tao Sun
openaire +2 more sources