Integration of Information Extraction with Machine Learning Techniques for Text Mining

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Sale Value ₹ 450.00 Item Code 978-93-90728-46-6 Tax Applicable GST@0 Rate Included Tax YES Recuring NO

Authors: A. Christy, S. Prayla Shyry and M.D. Anto Praveena

ISBN: 978-93-90728-46-6

Published Year: 2023

About the Book

Text Mining is a convergent field of Data Mining which deals with extracting relevant and useful part of the information from unstructured text documents and storing them in the structured form. The research work on Information Extraction started in 1979, by a Ph.D thesis submitted at Yale University. But, Information Extraction has got its focus only in 1990s by a series of Message Understanding Conferences conducted by US defense group, DARPA. Information Extraction is preferred by researchers because of its ability to extract specific part of the information with its timely delivery to decision makers and end-users.

Information Extraction focusses on extracting the entities and facts from technical websites. The technical web pages often exist in the semi-structured form, in which each and every part of the content is stored as a block of information. Existing Supervised and Unsupervised learning algorithms are reviewed and new algorithms are proposed and implemented for extracting facts and entities from technical websites.

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