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We use LSTM, BiLSTM, BERT and SVM with TF-IDF, Word2vec and Bag-of-words to classify this documents to positive (labeled as 1), neutral (labeled as 0) and negative (labeled as 2)

License: MIT License

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nlp-machine-learning nlp vietnamese-nlp vietnamese-text-classification text-classification text-classification-python vietnamese vietnamese-language

vietnamese-news-classification's Introduction

Hi there, I'm Thuan Tran ๐Ÿ‘‹

I'm pursuing PhD in Computer Science at George Mason University. My research interests are 3D point cloud processing, 3D scene understanding and 3D generative models ๐ŸŒ. Consider ๐ŸŒŸ my repositories if you find my project interesting, at least your star could make someone's day ๐Ÿ™.

Personal Website: https://anhthuan1999.github.io

Google Scholar: My publications

Linkedin: Anh-Thuan Tran

Email: [email protected], [email protected]


Operating Systems

Windows Linux

worked with:

Ubuntu

Programming Languages

Python C

Frameworks

Numpy Pandas Matplotlib Plotly Sklearn Tensorflow 2 Pytorch

Database

SQL Server

VCS

Git GitHub

Frontend

HTML5

Editors

Pycharm

Others

These are the tools/technology that i have read/briefly worked with:

GitLab Docker Postman Selenium

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