scionoftech/NamedEntityRecognition-BiLSTM-CRF-BERT
NamedEntityRecognition using BiLSTM-CRF,BiLSTM,BERT,TF2.x and Pytorch
This tool helps you automatically identify and categorize important pieces of information in text, like names of people, organizations, locations, dates, and currency amounts. You input raw text from sources such as social media, customer support tickets, or survey responses, and it outputs the same text with key entities highlighted and labeled. This is ideal for analysts, marketers, or anyone who needs to quickly extract structured data from large volumes of unstructured text.
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Use this if you need to rapidly scan and organize specific types of information from text documents, rather than reading through everything manually.
Not ideal if you're looking to understand the overall sentiment or general topic of a text, rather than identifying specific entities.
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Jupyter Notebook
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Last pushed
Jul 25, 2020
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