GithubHelp home page GithubHelp logo

big-data-in-psychology's Introduction

A Practical Guide to Big Data Research in Psychology

Tutorial code and data repository

Tutorial 1

Tutorial 1 covers data acquisition from the U.S. GPO API. The code files here implement retrieving one day, four days, and ten years of data.

Tutorial 2

Tutorial 2 covers latent Dirichlet allocation topic modeling using MALLET. The data here are U.S. Senate Additional Statements. The Python file text_processor.py processes the raw data retrieved in Tutorial 1.

Tutorial 3

Tutorial 3 covers support vector machine classification. The code files here implement classification using the iris dataset, including visualization.

Extras

The extras directory contains the raw data retrieved in Tutorial 1.


Key resources

Python

https://www.python.org/

Python distributions:

Python package repository: https://pypi.python.org/pypi

R

https://www.r-project.org/

R Studio: https://www.rstudio.com/

R package repository: https://cran.r-project.org/

Databases

MySQL: https://www.mysql.com/

MongoDB: https://www.mongodb.org/

Apache’s Cassandra: http://cassandra.apache.org/

Redis: http://redis.io/

Text analytics

TACIT: http://tacit.usc.edu/

Natural Language Toolkit: http://www.nltk.org/

Genism: https://radimrehurek.com/gensim/

Stanford CoreNLP: http://stanfordnlp.github.io/CoreNLP/

MALLET: http://mallet.cs.umass.edu/topics.php

Matlab Topic Modeling Toolbox: http://psiexp.ss.uci.edu/research/programs_data/toolbox.htm

Data mining and machine learning

scikit-learn: http://scikit-learn.org/stable/

WEKA: http://www.cs.waikato.ac.nz/ml/weka/

Network analysis and visualization

UCINET: https://sites.google.com/site/ucinetsoftware/home

Pajek: http://mrvar.fdv.uni-lj.si/pajek/

Siena/RSiena: https://www.stats.ox.ac.uk/~snijders/siena/

Gephi: https://gephi.org/

d3.js: https://d3js.org/

graphviz: http://www.graphviz.org/

Hadoop

http://hadoop.apache.org/

big-data-in-psychology's People

Contributors

chene5 avatar

Stargazers

 avatar  avatar

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.