Build an end to end pipeline for Named Entity Recognition (NER) by a pretrained Huggingface transformer, BERT and deploy to google cloud platform using Docker, CI/CD tool: CircleCI.

SetFit Model 3: Annotation and Fine-Tuning Deep-Learning Model for Stance Detection

📒 BuggyBuddy Notebook is a crucial component of the BuggyBuddy project, serving as the core for data analysis and deep learning model exploration that underpins the entire BuggyBuddy project.

Compound NLP GUI project, First used many ML algorithmes (SVM,Logistic Regression...etc) for nlp tasks like "News Classification",seconedly used specialized NLP tools for task like "Text Summerization",Thirdly used Deep Learning for NLP task like"Machine Translation",fourthly web scraping and pre-trained models for task"Code Generation"

Chatbot with Intent Pattern Recognition & Speech Recognition [WIP]

Implement the word embedding for exploring the correlation among words - Design a sequence model for generating text

NLP Text Emotion Detection using tensorflow keras. This is a web based project.

Natural Language Processing: Model Comparison between BERT and Hierarchical Attention Networks

An advanced web application specialized in the automatic classification of medical abstracts. Leveraging natural language processing (NLP) techniques.

BERT Model 2: Annotation and Fine-Tuning Deep-Learning Model for Passage Boundary Detection

The voice-controlled robot system features four simple commands: forward, backward, left, and right.

Knowledge Aware Reasoning Memory Modeling with Reinforcement Learning of Vector Space

KoBERT를 활용한 채팅 내 핵심어 자동추출 모델 및 테스트 페이지 구성

Natural Language Processing Tasks and Projects

The goal of the project is to detecte inappropriate Reddit posts and warn users about explicit content in these posts.

DistilBERT for performing a NLP task

aims to develop a movie recommendation system utilizing Natural Language Processing.

Data preprocessing and training on Drug Review Dataset using Hugging Face library

Application that predicts business events, extract named entities and topics from news articles