Results 231 to 240 of about 79,268 (265)
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Text Mining: The New Data Mining Frontier
2014Data miners and analysts are used to dealing with data in structured fields, such as rows and columns. Data, such as age, income, purchase spending, and purchase dates, are typically found in specific columns or fields. Advances in data mining technology now allow analysis of unstructured text data.
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Text Preprocessing for Text Mining in Organizational Research: Review and Recommendations
Organizational Research Methods, 2022Padmini Srinivasan +2 more
exaly
The application of text mining in accounting
International Journal of Accounting Information Systems, 2023Rajendra Srivastava
exaly
Text Mining in Cybersecurity: A Systematic Literature Review
ACM Computing Surveys, 2022Rodrigo da Rosa Righi +1 more
exaly
2005
Abstract The goal of this chapter is to present textual data mining from a broad perspective, in addition to discussing several methods in computational statistics that can be applied to this area. I begin by discussing natural language processing at the word and sentence level, since a textual data mining system that seeks to discover knowledge ...
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Abstract The goal of this chapter is to present textual data mining from a broad perspective, in addition to discussing several methods in computational statistics that can be applied to this area. I begin by discussing natural language processing at the word and sentence level, since a textual data mining system that seeks to discover knowledge ...
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Research trends in text mining: Semantic network and main path analysis of selected journals
Expert Systems With Applications, 2020Ki Youn Kim
exaly
2010
This chapter investigates the problem of classifying text documents into two disjoint classes. It does so by employing a data mining approach based on the OCAT algorithm. This chapter is based on the work discussed in [ Nieto Sanchez, Triantaphyllou, and Kraft, 2002].
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This chapter investigates the problem of classifying text documents into two disjoint classes. It does so by employing a data mining approach based on the OCAT algorithm. This chapter is based on the work discussed in [ Nieto Sanchez, Triantaphyllou, and Kraft, 2002].
openaire +1 more source
Applications of text mining in services management: A systematic literature review
International Journal of Information Management Data Insights, 2021Sunil Kumar +2 more
exaly
Current State of Text Sentiment Analysis from Opinion to Emotion Mining
ACM Computing Surveys, 2018Ali Yadollahi
exaly
Text Mining in Organizational Research
Organizational Research Methods, 2018Vladimer Kobayashi +2 more
exaly

