pandeydivesh15/NER-using-Deep-Learning
A project on achieving Named-Entity Recognition using Deep Learning.
This tool helps you automatically identify and categorize key pieces of information within text documents. You input raw text, and it highlights and labels specific entities like names of people, organizations, locations, dates, and numerical values. This is ideal for anyone who needs to quickly extract structured data from unstructured text, such as researchers, analysts, or content managers.
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Use this if you need to quickly scan large volumes of text to pull out specific types of named entities like names, places, or dates.
Not ideal if you require a simple keyword search or already have structured data.
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25
Forks
14
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 31, 2018
Commits (30d)
0
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