Metadata-Version: 2.1
Name: balinese_embeddingvector
Version: 0.0.6
Summary: A Python package for utilizing Pretrained Balinese Word Embedding Model using FastText, Word2Vec, Glove, and BERT
Author: I Made Satria Bimantara
Author-email: satriabimantara.md@gmail.com
Keywords: Balinese,NLP,Text Preprocessing,Semantic Feature Extraction,Word Embedding,FastText,Glove,Word2Vec,BERT
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Operating System :: OS Independent
Classifier: Natural Language :: Indonesian
Classifier: Topic :: Text Processing :: Linguistic
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: gensim==4.3.3
Requires-Dist: huggingface-hub==0.33.0
Requires-Dist: scikit-learn==1.2.1
Requires-Dist: matplotlib==3.6.3
Requires-Dist: matplotlib-inline==0.1.6
Requires-Dist: nltk==3.8.1

# Pretrained Balinese Word Embedding Model using FastText, Word2Vec, Glove, and BERT
