torchtext

Tweet text classification with PyTorch 1-D CNN. Inspired by [Fernando Lopez's](https://github.com/FernandoLpz/Text-Classification-CNN-PyTorch) incorrect implementation of "Convolutional Neural Networks for Sentence Classification"

I have recently gained knowledge on how to utilize PyTorch, an open-source machine learning framework that is known for its simplicity, performance, and APIs.

This project utilizes natural language processing and Recurrent Neural Networks (RNNs) to classify sentences into one of six predefined emotions. It focuses on accurately matching text to emotional categories based on advanced NLP techniques.

English-Hindi translation with attention. WIP

Text classification with torchtext pytorch library.

torchtext使用指南

three-hierarchy multiclassification for desensitization text, using LSTM model

End-to-end sentiment analysis with a stacked LSTM in PyTorch — custom tokenization, embeddings, padding, class imbalance handling, and thorough evaluation.

Sentiment Analysis + Category Classification using LSTM in Pytorch

Implementation of the CBOW model using PyTorch and TorchText

Fake news detection on LIAR-PLUS dataset using traditional machine learning techniques and deep learning techniques. Used a normal LSTM network and also contextual attention (with justification) for deep learning techniques.

Here are my three homeworks for digital analytics course

Home Project for the Data and Knowledge Engineering class 2021 at Heinrich-Heine-University.

Implementation of Kim (2014)'s CNN in PyTorch

NN to differentiate between real and fake news

A web application to detect and classify toxic comments

Sentiment analysis on yelp reviews using pytorch.

Multi-label emotion classifier (28 GoEmotions categories) using a BiLSTM in PyTorch, served via FastAPI. Per-class threshold tuning on validation set.

Dockfile containing LightGBM, Pytorch and TorchText with GPU Cuda acceleration