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Comparative Studies | Data & Knowledge Engineering | India | Volume 7 Issue 10, October 2018

An Overview of Text Analysis Technologies and Tools

Akshita Lakkad | Sneh Gajiwala | Dr. Mrs. Neepa Shah

Abstract: Text analytics is the process of reading unstructured textual data and converting it into meaningful data for analysis, to obtain a measurable quantity that provides some valuable information. Text analysis is being increasingly adopted by business organizations. It helps business organizations to interpret unstructured data such as customer feedback and identify patterns and predict trends. Many software solutions for text analysis provide tools, servers, analytical algorithms based applications, data mining and extraction based tools for converting text data into meaningful data for analysis. In this paper, we have discussed the basics of text analysis, various techniques of text mining, and the most popular tools for text analysis. Examples of tools include natural language processing, high-end APIs that can be easily integrated with other software, full-text and search.

Keywords: text analysis tools, semantic analysis, word embedding, techniques, topic modeling, natural language processing

Edition: Volume 7 Issue 10, October 2018,

Pages: 505 - 509

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