CNN-yelp-challenge-2016-sentiment-classification

Sentiment classifier

This repository trains a Convolutional Neural Network to classify customer reviews based on their sentiment.

IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.

GitHub

109 stars
12 watching
50 forks
Language: Jupyter Notebook
last commit: over 6 years ago
Linked from 1 awesome list

artificial-intelligencecnn-modeldeep-learningsentiment-classification

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
neuro-inc/ml-recipe-hier-attentionAn implementation of a neural network architecture for sentiment classification using hierarchical attention mechanisms.2
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
xiaohan2012/twitter-sent-dnnA tool to predict sentiment analysis on tweets using deep neural networks275
shawn1993/cnn-text-classification-pytorchAn implementation of Kim's Convolutional Neural Networks for Sentence Classification in PyTorch1,022
nvidia/sentiment-discoveryLarge-scale unsupervised language modeling for robust sentiment classification and related NLP tasks1,061
ibm/max-review-text-generatorGenerates English-language text similar to Yelp reviews using a Char-RNN model17
yeephycho/nasnet-tensorflowA toolkit for training and deploying a state-of-the-art image classification architecture on TensorFlow136
pythainlp/wisesight-sentimentA large Thai social media text sentiment dataset with annotated labels77
fnielsen/afinnA Python library providing a wordlist-based approach for sentiment analysis across multiple languages.453
steffan267/sentiment-analysis-on-danish-social-mediaThis project provides annotated data and guidelines for fine-grained sentiment analysis on Danish social media comments.7
e9t/nsmcA dataset of Korean movie reviews with labeled sentiment annotations.566
dinghanshen/swemReproduces the results of an ACL 2018 paper on simple word-embedding-based models for natural language processing tasks.284
imatge-upc/saliency-2016-cvprThis project proposes a solution to predict salient areas in images using convolutional neural networks.186
sjsingh91/ib-cnnA library implementing a learning algorithm for improving classification accuracy with incremental updates and ensemble methods using neural networks2