https://github.com/rajspeaks/machine-learning-approach-to-bengali-corpus-name-entity-recognition-testing-using-bnlp
Machine Learning approach to Bengali corpus NER- Named Entity Recognition using BNLP. A mini project under the mentorship of Prof. Sandipan Ganguly, HIT-K
https://github.com/rajspeaks/machine-learning-approach-to-bengali-corpus-name-entity-recognition-testing-using-bnlp
bengali bengali-dataset bengali-language-processing bengali-natural-language-processing bengali-nlp bnlp machine-learning ml named-entity-recognition natural-language-processing natural-language-understanding ner nlp nlp-library nlp-machine-learning nlp-parsing rajdeep-das rajspeaks
Last synced: 22 days ago
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Machine Learning approach to Bengali corpus NER- Named Entity Recognition using BNLP. A mini project under the mentorship of Prof. Sandipan Ganguly, HIT-K
- Host: GitHub
- URL: https://github.com/rajspeaks/machine-learning-approach-to-bengali-corpus-name-entity-recognition-testing-using-bnlp
- Owner: Rajspeaks
- License: gpl-3.0
- Created: 2022-03-21T11:10:51.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-05-02T06:41:43.000Z (almost 3 years ago)
- Last Synced: 2025-02-09T22:46:49.768Z (3 months ago)
- Topics: bengali, bengali-dataset, bengali-language-processing, bengali-natural-language-processing, bengali-nlp, bnlp, machine-learning, ml, named-entity-recognition, natural-language-processing, natural-language-understanding, ner, nlp, nlp-library, nlp-machine-learning, nlp-parsing, rajdeep-das, rajspeaks
- Language: Jupyter Notebook
- Homepage:
- Size: 9.41 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Machine Learning approach to Bengali Corpus NER using BNLP
This is a mini project on Bengali corpus NER or Named Entity Recognition from BNLP (Bengali Natural Language Processing) Toolkit under the mentorship of Prof. Sandipan Ganguly, Heritage Institute of Technology, Kolkata-India.
### What is BNLP?
BNLP is a natural language processing toolkit for Bengali Language. This tool will help you to tokenize Bengali text, Embedding Bengali words, Bengali POS Tagging, Construct Neural Model for Bengali NLP purposes. Developed by [Prof. Sagor Sarker](https://github.com/sagorbrur) from Bangladesh.
_**Source Link: https://bnlp.readthedocs.io/en/latest/#word-embedding**___
_**BNLP GitHub : https://github.com/sagorbrur/bnlp**___
## Installation:
*
pypi package installer(python 3.6, 3.7, 3.8 tested okay)
``pip install bnlp_toolkit``
or Upgrade
``pip install -U bnlp_toolkit``
## What is NER or Named Entity Recognition?
NER or Named-entity recognition is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.
_Information Source: https://en.wikipedia.org/wiki/Named-entity_recognition_
### Methodology:
- At first I have imported NER from BNLP.
- Then I took a pre-trained model bn_ner.pkl.
- Took a Bengali Sentence and applied NER on it.
- Got the output approximately.
- Applied larger dataset & received most approximate results and even some of the false positive results also.
### Tools:
1. Jupyter Notebook (You can use Colab also)
2. Language: Python
3. BNLP; Link: https://bnlp.readthedocs.io/en/latest/#word-embedding
### Developer:
- [Rajdeep Das](https://github.com/Rajspeaks)
LinkedIn Profile: https://www.linkedin.com/in/itsrajdeepdas/
## Thank you