Named Entity Recognition (NER)

Named Entity Recognition (NER) is a natural language processing (NLP) tool that identifies and classifies named entities within a text. This project provides an efficient and customizable NER solution.

Features

• Accurate Recognition: Utilize state-of-the-art algorithms for precise identification of named entities.
• Customizable: Easily adapt the model to different domains and specific entity types.
• Fast and Scalable: Efficient implementation allows for quick processing of large text corpora.

Follow these instructions to get your project up and running quickly.

Installation

Used dependancies :

pip install simpletransformers
pip install scikit-learn
pip install pandas

Clone Repo Here :

!git clone https://github.com/PraveenLiyanage/Named-Entity-Recognition-NER.git