Applying BERT, PhoBERT, RoBERT models to natural language processing to detect official and unofficial news.
-
Updated
Apr 5, 2024 - Python
Applying BERT, PhoBERT, RoBERT models to natural language processing to detect official and unofficial news.
Pipeline for sentiment classification, use trainer of HuggingFace and use ONNX to export model
Extract vectors by setences and words with one layer or concat more layers
Vietnamese Fake News Detection Based on Hybrid Transfer Learning Model and TF-IDF
PyTorch deep learning model to detect toxic of Vietnamese sentences using Bert
Quy Nhon AI Hackathon 2022 - Challenge 2: Review Analytics - Top 1 Solution
vietnamese-text-classification
Multi-task Aspect Category Sentiment Analysis for Vietnamese reviews
Simple fine-tunning and deploy PhoBERT
This is the DEMO Vietnamese SBERT project that I put my heart into most clearly.
image-captioning using ViT-PhoBERT model
PhoBERT fine-tuned for sentiment analysis
We build a subject recommendation system expected to improve students' learning quality at the University of Information Technology.
Customer Feedbacks 😄
Text-level Aspect-Based Sentiment Analysis based on multi-task approach for Vietnamese reviews.
The 'Machine Learning' big project by Duc Tran Van, Minh Nguyen Tan, Trung Nguyen Hoang
Add a description, image, and links to the phobert topic page so that developers can more easily learn about it.
To associate your repository with the phobert topic, visit your repo's landing page and select "manage topics."