CNN-yelp-challenge-2016-sentiment-classification

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

artificial-intelligence

View on GitHub

107 Stars

52 Forks

107 Watchers

Jupyter Notebook Language

Cost to Build

$107.6K

Market Value

$194.4K

How is this calculated?

Growth over time

6 data points · 2021-08-01 → 2023-03-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about CNN-yelp-challenge-2016-sentiment-classification

Question copied to clipboard

What is the haoopeng/CNN-yelp-challenge-2016-sentiment-classification GitHub project? Description: "IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone CNN-yelp-challenge-2016-sentiment-classification

Clone via HTTPS

git clone https://github.com/haoopeng/CNN-yelp-challenge-2016-sentiment-classification.git

Clone via SSH

[email protected]:haoopeng/CNN-yelp-challenge-2016-sentiment-classification.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the CNN-yelp-challenge-2016-sentiment-classification issue tracker:

Open GitHub Issues

Similar to CNN-yelp-challenge-2016-sentiment-classification

deeplearning4j machine-learning-for-software-engineers incubator-mxnet spaCy cheatsheets-ai gun php-ml TensorLayer awesome-artificial-intelligence AlgoWiki papers-I-read kong EmojiIntelligence PyGame-Learning-Environment deep-trading-agent caffe2 AirSim pipeline diffbot-php-client mycroft-core iOS_ML warriorjs nd4j incubator-kie-optaplanner ML-for-High-Schoolers Dragonfire auto_ml gophernotes deeplearning4j-examples DeepPavlov