Sentiment-Analysis-via-GCN
Chinese text sentiment analysis via Graph Convolution Neural Networks
This is the code for Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution Networks. World Wide Web Journal, Yuni Lai, Linfeng Zhang, Donghong Han, Rui Zhou, Guoren Wang.
Requirements
Pytorch >=0.4.0
Numpy
Pandas
Sklearn
We highly recommend you to use anaconda for running these codes.
Run the codes
python train_binary_classification.py # for binary emotion classification
python train_fine_grained_classification.py # for fine-grained classification
Download the Data
You can download the processed data from Baidu Drive from here. (password=3kxy)
We will upload them on Google Drive soon.