Skip to content

Latest commit

 

History

History
16 lines (9 loc) · 709 Bytes

README.md

File metadata and controls

16 lines (9 loc) · 709 Bytes

NLP-RNN

Recurrent Neural Network for Natural Language Processing

word2vec-GoogleNews-vectors

Download the word2vec pre-trained Google News corpus (3 billion running words) word vector model (3 million 300-dimension English word vectors). Then put GoogleNews-vectors-negative300.bin.gz in the file './temp/'

It is mirroring the data from the official word2vec website: GoogleNews-vectors-negative300.bin.gz

Run

there are two options:

  1. run command: python named_entity_recognition.py

  2. run named_entity_recognition.ipynb with Google Colab Notebook.