⚡ 基于PyTorch的多种模型文本分类框架

A ML project specifically build for predicting students' mental health

中文情感分类 | 基于三分类的文本情感分析

Medical Question Answering System.

M.Sc. mini project for NLP class (M908)

Simulation of Nanopore Sequencing Signals Based on BiGRU

Source code and the details of the results in the paper "Named entity recognition in Turkish: A comparative study with detailed error analysis".

👾 리그오브레전드 소환사 이름 기반 티어 예측 & 워드클라우드 분석

Made a Image Caption Generator

Our project aims at classifying the given news articles as fake or true based on the content using few-shot learning models with fewer data.

toxic comment classification using various model

This project focuses on the development of a Recurrent Neural Network (RNN) model using Gated Recurrent Units (GRUs) for Twitter sentiment analysis, along with hyperparameter tuning. The performance of the RNN-GRU model is compared against two pre-existing models

Aspect based sentiment analysis in tunisian dialect

Implementation of CNN and bi-GRU in parallel to solve text classification. In this particular example, I and my colleague, Ida Novindasari, use the AG news dataset from torchtext.datasets.

In this repository, we deal with the task of implementing Natural Language Inferencing (NLI) using the SNLI dataset. Different methods such as BiLSTM, BiGRU, Attention models and Logistic Regression are experimented.