philipperemy/Stanford-NER-Python
Stanford Named Entity Recognizer (NER) - Python Wrapper
This tool helps you automatically identify and categorize key pieces of information within any English text, such as names of people, organizations, locations, or monetary values. You provide raw text, and it returns the text with specific entities tagged with their categories. This is ideal for anyone working with large volumes of text who needs to quickly extract structured data from unstructured content, like researchers, data analysts, or content managers.
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Use this if you need to automatically pull out specific types of named entities like people, companies, or places from English text.
Not ideal if you need to identify entities in languages other than English or if you require very detailed, specialized entity types beyond common categories.
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81
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15
Language
Python
License
MIT
Category
Last pushed
Mar 30, 2020
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