Coder Social home page Coder Social logo

sentiment_analysis_fun's Introduction

sentiment_analysis_fun

A naive approach to classify movie reviews. This project starts as exercise of the coursera course "Introduction to data science"

The train and test datasets are available on this Kaggle competition. This project contains scripts to transform these datasets in feature vectors based on AFINN sentiment dictionary.

Below, we can find the main used scripts:

  • afinn_refiner: reduces origin AFINN dictionary to keep only those words that are more frequent on train dataset
  • vector_data_builder: transforms the train data in vectors with 58 features (positions). The features corresponds to the 57 words of the reduced AFINN dictionary.

sentiment_analysis_fun's People

Watchers

avatar 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.