PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
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Updated
Jul 23, 2024
PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
Question Answering in Vietnamese. In a nutshell, this project helps us answer a Question of a given Context in Vietnamese. [UPDATED] This won me a Top 2 Graduates of VietAI Advanced NLP 02.
End-to-end Multi-task Solutions for Aspect Category Sentiment Analysis (ACSA) on Vietnamese Datasets
Sentiment-based classification for stock article title using PhoBert
Ensemble PhoBERT with FastText Embedding to improve performance on Vietnamese Sentiment Analysis tasks.
Token classification using Phobert Models for Vietnamese
Phân loại văn bản Tiếng Việt sử dụng pretrained model - PhoBERT
Quy Nhon AI Hackathon 2022 - Challenge 2: Review Analytics - Top 1 Solution
Text-level Aspect-Based Sentiment Analysis based on multi-task approach for Vietnamese reviews.
Extract vectors by setences and words with one layer or concat more layers
Customer Feedbacks 😄
Pipeline for sentiment classification, use trainer of HuggingFace and use ONNX to export model
We build a subject recommendation system expected to improve students' learning quality at the University of Information Technology.
PhoBERT fine-tuned for sentiment analysis
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
vietnamese-text-classification
The 'Machine Learning' big project by Duc Tran Van, Minh Nguyen Tan, Trung Nguyen Hoang
Multi-task Aspect Category Sentiment Analysis for Vietnamese reviews
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