njainds/Named-Entity-Recognition
This is a project in python to extract named entities from the given text corpus. You can use this project directly on your text corpus (changing path in config file) to train the model and score it on new corpus.
This tool helps you automatically identify and extract specific types of information, like names of people, locations, and organizations, from large volumes of text. You provide your existing collection of text documents, and it labels key entities within them. This is useful for researchers, analysts, or anyone working with text data who needs to quickly find and categorize specific items.
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Use this if you need to automatically tag and organize person names, locations, and other entities within large German or other language text corpuses, especially when your primary focus is on identifying people.
Not ideal if you require high accuracy for all entity types (LOC, ORG, MISC) or if you prefer a system that doesn't require extensive setup and corpus preparation for training.
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Aug 07, 2017
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