A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques. Allahyari, M., Pouriyeh, S., Assefi, M., Safaei, S., Trippe, E., D., Gutierrez, J., B., & Kochut, K. Paper Website abstract bibtex The amount of text that is generated every day is increasing dra-matically. This tremendous volume of mostly unstructured text cannot be simply processed and perceived by computers. There-fore, efficient and effective techniques and algorithms are required to discover useful patterns. Text mining is the task of extracting meaningful information from text, which has gained significant attentions in recent years. In this paper, we describe several of the most fundamental text mining tasks and techniques including text pre-processing, classification and clustering. Additionally, we briefly explain text mining in biomedical and health care domains.
@article{
title = {A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques},
type = {article},
keywords = {Clustering and classification,Informa-tion extraction,KEYWORDS Text mining,classification,clustering,infor-mation extraction,information retrieval},
websites = {https://arxiv.org/pdf/1707.02919.pdf},
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created = {2018-02-05T19:13:01.980Z},
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abstract = {The amount of text that is generated every day is increasing dra-matically. This tremendous volume of mostly unstructured text cannot be simply processed and perceived by computers. There-fore, efficient and effective techniques and algorithms are required to discover useful patterns. Text mining is the task of extracting meaningful information from text, which has gained significant attentions in recent years. In this paper, we describe several of the most fundamental text mining tasks and techniques including text pre-processing, classification and clustering. Additionally, we briefly explain text mining in biomedical and health care domains.},
bibtype = {article},
author = {Allahyari, Mehdi and Pouriyeh, Seyedamin and Assefi, Mehdi and Safaei, Saied and Trippe, Elizabeth D and Gutierrez, Juan B and Kochut, Krys}
}
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