https://github.com/rahul1582/named-entity-recognition
A keras implementation of Bidirectional-LSTM for Named Entity Recognition.
https://github.com/rahul1582/named-entity-recognition
bidirectional-lstm keras named-entity-recognition spacy tensorflow
Last synced: about 1 month ago
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A keras implementation of Bidirectional-LSTM for Named Entity Recognition.
- Host: GitHub
- URL: https://github.com/rahul1582/named-entity-recognition
- Owner: Rahul1582
- License: apache-2.0
- Created: 2020-03-08T18:40:01.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-05-18T14:24:24.000Z (almost 5 years ago)
- Last Synced: 2025-02-06T09:46:34.894Z (3 months ago)
- Topics: bidirectional-lstm, keras, named-entity-recognition, spacy, tensorflow
- Language: Jupyter Notebook
- Homepage: https://nbviewer.jupyter.org/github/Rahul1582/Named-Entity-Recognition/blob/master/Named%20Entity%20Recognition.ipynb
- Size: 27.6 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Named-Entity-Recognition using LSTMs with Keras
A keras implementation of Bidirectional-LSTM for Named Entity Recognition.
Trained a Bidirectional LSTM Neural Network to recognize named entities in text data.
## Data Preparation (optional)
The [dataset](https://www.kaggle.com/abhinavwalia95/entity-annotated-corpus#ner_dataset.csv) is available as a single csv file.
### Technologies Used
```
1.Bidirectional LSTM
2.Keras
3.Tensorflow
4.Python
```
### Result
This was the graph we obtained after training the Neural Network.
### Author
```
Rahul Kumar Patro
```