PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
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Updated
Feb 24, 2024
PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
Sentiment-based classification for stock article title using PhoBert
Ensemble PhoBERT with FastText Embedding to improve performance on Vietnamese Sentiment Analysis tasks.
Multi-task Aspect Category Sentiment Analysis for Vietnamese reviews
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.
Quy Nhon AI Hackathon 2022 - Challenge 2: Review Analytics - Top 1 Solution
Token classification using Phobert Models for Vietnamese
Phân loại văn bản Tiếng Việt sử dụng pretrained model - PhoBERT
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 😄
Vietnamese Fake News Detection Based on Hybrid Transfer Learning Model and TF-IDF
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
PyTorch deep learning model to detect toxic of Vietnamese sentences using Bert
vietnamese-text-classification
Multi-task Aspect Category Sentiment Analysis for Vietnamese reviews
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