ml-recipe-hier-attention

Sentiment classifier

An implementation of a neural network architecture for sentiment classification using hierarchical attention mechanisms.

GitHub

2 stars
7 watching
1 forks
Language: Python
last commit: over 5 years ago

Related projects:

RepositoryDescriptionStars
ibm/max-text-sentiment-classifierDetects sentiment in short pieces of text using a pre-trained BERT model fine-tuned on the IBM Claims Dataset.58
kevincobain2000/sentiment_classifierA Python library for sentiment analysis using word sense disambiguation and machine learning algorithms.172
haoopeng/cnn-yelp-challenge-2016-sentiment-classificationThis repository trains a Convolutional Neural Network to classify customer reviews based on their sentiment.109
nvidia/sentiment-discoveryLarge-scale unsupervised language modeling for robust sentiment classification and related NLP tasks1,061
sergioburdisso/pyss3A Python package implementing an interpretable machine learning model for text classification with visualization tools336
koichiro11/residual-attention-networkAn image classification neural network implementation using attention mechanisms and residual learning94
tqtg/hierarchical-attention-networksAn implementation of a neural network architecture for document classification using hierarchical attention mechanisms87
barissayil/sentimentanalysisA sentiment analysis tool trained on the Stanford Sentiment Treebank using various neural network architectures.367
franck-dernoncourt/neuronerNamed-entity recognition using neural networks.1,701
jostineho/mememojiA facial emotion recognition system that uses deep learning to classify basic emotions from images of faces.767
lim0606/caffe-googlenet-bnRe-implementation of a neural network model with batch normalization and customized training parameters.131
neuralix/google_evolutionA Python implementation of an exotic image classifier architecture inspired by Google's evolution of image classifiers53
soerenab/audiomnistThis project provides an implementation of a deep learning framework to classify audio signals and offers insights into the model's decision-making process using Explainable Artificial Intelligence (AI) techniques.351
neuraxio/neuraxle-tensorflowProvides utility functions and abstractions for building machine learning models using TensorFlow4
fnielsen/afinnA Python library providing a wordlist-based approach for sentiment analysis across multiple languages.453