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An Analysis of Text Mining in Big Data

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The practice of extracting hidden predictive information from a database and structuring it for later use is known as data mining. Web mining, text mining, sequence mining, graph mining, temporal data mining, spatial data mining, distributed data mining, and multimedia mining are some of the diverse domains in data mining. Financial data analysis, the retail and telecommunications sectors, science and engineering, and intrusion detection and prevention are a few fields where data mining is used. Worldwide, big data analytics is a burgeoning research field in computer science and many other fields. We covered text mining methods and their uses in this paper. Text mining is becoming a significant topic of study. Text mining is the process of automatically finding new, previously undiscovered information using a computer.
Title: An Analysis of Text Mining in Big Data
Description:
The practice of extracting hidden predictive information from a database and structuring it for later use is known as data mining.
Web mining, text mining, sequence mining, graph mining, temporal data mining, spatial data mining, distributed data mining, and multimedia mining are some of the diverse domains in data mining.
Financial data analysis, the retail and telecommunications sectors, science and engineering, and intrusion detection and prevention are a few fields where data mining is used.
Worldwide, big data analytics is a burgeoning research field in computer science and many other fields.
We covered text mining methods and their uses in this paper.
Text mining is becoming a significant topic of study.
Text mining is the process of automatically finding new, previously undiscovered information using a computer.

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