Giter Site home page Giter Site logo

image-sentiment-analysis's Introduction

This is a simple implentation code for image sentiment analysis using convolutional neural networks. It is recommended to run the code under python3.5 in the 64 bit version. We created in spyder IDE not limited to specific platform but we didn’t experimented on others except linuxmint. The project support several third party dependencies, we recommend to install them before running this code. The packages we used in image sentiment analysis are updated versions we recommend to install the latest versions for better results. it's also recommaded to use GPU for wise spending time on iterations.

image-sentiment-analysis's People

Contributors

graju1401 avatar

Watchers

James Cloos avatar Ling avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.