buhrmann Goto Github PK

brickhouse

Hive UDF's for the data warehouse

buhrmann.github.io

Personal blog

cdh-twitter-example

Example application for analyzing Twitter data using CDH - Flume, Oozie, Hive

cinder

Cinder is a community-developed, free and open source library for professional-quality creative coding in C++.

dash

A web application that imports Nike+ running data into its own nosql database and visualises it using interactive d3 charts.

datawerk

dynmx

elegans

A visual in-browser exploration tool for the connectome of the nematode worm C. elegans.

geopandas

Python tools for geographic data

legrow

runr

R interface to Nike+ API and basic statistics/visualization

scikit-learn

scikit-learn: machine learning in Python

sepln-tass15

Twitter Sentiment Analysis

sepln-tweetlid14

The TweetLID shared task consists in identifying the language or languages in which tweets are written. Focusing on events, and news in the Iberian Peninsula, the main focus of the task is the identification of tweets written in the 5 top languages from the Peninsula (Basque, Catalan, Galician, Spanish, and Portuguese), and English We will provide the participants of the task with a training corpus that includes approximately 15,000 tweets manually annotated with the language(s). The participants will have a month to develop and tweak their language identification systems from this training corpus. They will have apply their system on the test set afterwards, and submit the output of the system, which will be evaluated and compared to the other participants’ systems. It is worth noting that some tweets are written in more than one language (e.g., partly in Portuguese, and partly in Galician), and that the language cannot be determined in some cases (e.g., “jajaja”). The corpus also takes into account these specific cases, providing annotations such as “ca+es” (written in Catalan and Spanish), “ca/es” (it can be either Catalan or Spanish, it does not make a difference in this case), “other” (it is written in a language that is not considered in the task), o “und” (when it cannot be determined).

spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

st

simple statistics from the command line

tweetnlp

tweetonomy

Social network analysis of twitter data with hadoop, flume, hive and R (igraph).