Coder Social home page Coder Social logo

sentiment-analysis-via-gcn's Introduction

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.

sentiment-analysis-via-gcn's People

Contributors

zhanglinfeng1997 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.