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