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mutedial's Projects

adparsers icon adparsers

(Mostly) Python functions for bursting and analyzing our runaway ad files

anon icon anon

tweet about anonymous Wikipedia edits from particular IP address ranges

chambua icon chambua

Chambua is an open-source semantic tagging application that analyses text and extracts names of people, places (& geocodes them), organisations and other items such as expressions of time, money, nationality and religion

clavin icon clavin

CLAVIN (Cartographic Location And Vicinity INdexer) is an open source software package for document geotagging and geoparsing that employs context-based geographic entity resolution.

colloquial icon colloquial

lo-fi hardware modeled saturation in max for live

countries icon countries

World countries in JSON, CSV and XML. Any help is welcome!

countries-1 icon countries-1

All sorts of useful information about every country packaged as pretty little country objects. It includes data from ISO 3166 (countries and states/subdivisions ), ISO 4217 (currency), and E.164 (phone numbers). As a bonus it even adds a country_select helper to rails projects.

dfr-analysis icon dfr-analysis

Scripts to help work on data from JSTOR's Data for Research service

dirge icon dirge

broken downsampling, country roads, max for live

emacs-starter-kit icon emacs-starter-kit

A drop-in starter-kit for Emacs 24, aimed at social scientists researching and writing in plain text using some combination of LaTeX, R, ESS, Git, Markdown, and Org-Mode.

euromax icon euromax

Eurorack-inspired modules for Max/MSP

geodict icon geodict

A simple Python library/tool for pulling location information from unstructured text

geograpy icon geograpy

Extract countries, regions and cities from a URL or text

geopy icon geopy

A Geocoding Toolbox for Python. Official git repo.

indotimex icon indotimex

Time expression extraction module, including time expression recognition and normalization, for Indonesian language.

ipm-text icon ipm-text

Materials for "Introduction to Text Analysis" (IPM 2018)

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