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NLP Code Snippets and Conference related

License: Apache License 2.0

Python 0.20% Jupyter Notebook 99.80% Shell 0.01%

nlp machine-learning algorithms bert transformer reformer papers papers-with-code bert-models wordpiece-tokenization

inlpfun's Introduction

NLP for fun

Contents from each dir

Demo/: We have some analysis with COVID-19 Tweets, and the trend analysis after Omicron broke out. Also, we provides the module for both crawling Google News titles and summarization. Provides the more fine-grained insights for news researchers.
IEEE/: Incompleted.
Lab_CSMU/: Consists of the graduation project and the report.
NOST_NTU_project/: Consists of the report and paper of MOST (NTSC) and NTU conference.
bert-fine_tune: Incompleted.
code/: Testing code for fun.
custom/: Transformer-based model edition.
validation: Sentiment analysis with multiple models (DistilBERT, XLNet, BERT, and RoBERTa), implemented with fastai.
NetKu_preprocessing/: The preprocessing snippets for NetKu Dataset and NetKu Service

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