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)
End-to-end Multi-task Solutions for Aspect Category Sentiment Analysis (ACSA) on Vietnamese reviews, using PhoBERT as pretrained model
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.
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
Quy Nhon AI Hackathon 2022 - Challenge 2: Review Analytics - Top 1 Solution
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.
A Production-grade Multimodal AI System for Real-Time E-Commerce Review Analytics, Aspect Sentiment Analysis, Visual Defect Detection & Zero-Shot Product Reranking.
Customer Feedbacks 😄
Finetune mô hình PhoBERT cho phân loại comment trên không gian mạng
Extract vectors by setences and words with one layer or concat more layers
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.
PyTorch deep learning model to detect toxic of Vietnamese sentences using Bert
CareerVerse — AI-powered career development ecosystem with multimodal personality assessment, semantic career recommendation, mentor matching, and AI interview simulation.
Vietnamese Fake News Detection Based on Hybrid Transfer Learning Model and TF-IDF
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