Advances in Theories and Applications of Text Mining
- 1 January 2009
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2009 First International Conference on Information Science and Engineering
- p. 4167-4170
- https://doi.org/10.1109/icise.2009.214
Abstract
Text Mining (TM) is the process of analyzing a semantically rich document or set of documents to understand the content and meaning of the information they contain. The research in Text Mining will enhance human's ability to process massive quantities of information, and it has high commercial values. Firstly, the paper discusses the introduction of TM and its definition and then gives an overview of the process of text mining and the applications. In the end, it shows the importance of TM in knowledge discovery and highlights the up-coming challenges of document mining and the opportunities it offers.Keywords
This publication has 9 references indexed in Scilit:
- Morphology analysis for technology roadmapping: application of text miningR&D Management, 2007
- A Text Mining Framework to Support Nano Science and Technology ManagementPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Textual Data Mining to Support Science and Technology ManagementJournal of Intelligent Information Systems, 2000
- ARIS — Business Process ModelingPublished by Springer Science and Business Media LLC ,2000
- 10.1162/153244303322533205Applied Physics Letters, 2000
- Mining association rules with multiple minimum supportsPublished by Association for Computing Machinery (ACM) ,1999
- A new framework for itemset generationPublished by Association for Computing Machinery (ACM) ,1998
- Analyst Forecasting Errors and Their Implications for Security AnalysisCFA Magazine, 1995
- A tutorial on hidden Markov models and selected applications in speech recognitionProceedings of the IEEE, 1989