floydhub/named-entity-recognition-template
Build a deep learning model for predicting the named entities from text.
This helps you automatically identify and categorize important details like people, places, organizations, and dates from text such as social media posts, customer support tickets, or survey responses. You input raw text, and it outputs the same text with specific words and phrases highlighted and labeled by category. This is useful for data analysts, marketers, customer service managers, or anyone needing to extract key information from large volumes of unstructured text.
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Use this if you need to automatically extract specific types of information (like names, locations, or times) from text documents to summarize content or populate databases.
Not ideal if you need to analyze the sentiment of text, translate languages, or generate new text, as its focus is solely on identifying and categorizing entities.
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Last pushed
Sep 27, 2018
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