How to build a multi-label sentiment classifiers with Tez and PyTorch
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Updated
Feb 28, 2021 - Jupyter Notebook
How to build a multi-label sentiment classifiers with Tez and PyTorch
Detection of fine-grained emotions in texts
Library for analyzing information from a list of journal entries. Utility functions and some wrapper functions for analyzing structure and emotions behind the text written
Emotion Sentiment Analysis
Text Emotion classification using BERT-LSTM model on GoEmotions dataset
Detect sexual predators in chats
Multilabel Text Sequence Classification
Trining emotions classifier of text data using BERT and GoEmotions dataset
Pytorch Implementation of GoEmotions 😍😢😱
Korean version of GoEmotions Dataset 😍😢😱
Russian translation of the GoEmotions dataset
Multi-module project to perform sentiment analysis on Irish Immigration using ML and NLP techniques.
A study project to practice TensorFlow - building a sentiment analysis model. Employed GloVe embeddings in conjunction with the GoEmotions dataset.
Fine-tuning BERT-small on GoEmotions dataset.
Sentiment Analysis on “HelloTalk” App Review Data with NRC Emotion Lexicon and GoEmotions Dataset
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