Here, the focus is on various tasks that fall within the remit of information extraction. Examples include Named Entity Recognizer, identifying events, times, and relations among entities. A series of Python scripts illustrate how to extract ‘structured’ information out of a variety of text corpora comprising data on organizations and markets
Summary
Open the circle: learn core NLP aspects
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Information extraction with NLP
Named entity recognition
Extracting relations and events
An example of information extraction application
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NLP application example
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