Beginning Text Analysis with R

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Date

2016-04-29

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Indiana University Workshop in Methods

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https://hdl.handle.net/2022/21968

Abstract

R is an open source language for statistical programming and graphics. With libraries oriented towards text mining, and one even called twitteR, using R to analyze social and humanities data has gotten easier than ever. This workshop will introduce some basics of R and guide you through a scaffolded approach to learning R that includes written tutorials, online web apps, dynamic notebooks, and downloadable code. In this session we will generate basic word clouds and cluster dendrograms.​

Description

With undergraduate degrees in Math and English, a PhD in English Literature, and a Masters in Information Science, Tassie just likes to go to school. She is also delighted to be the Cyberinfrastructure for Digital Humanities Manager in Research Technologies at UITS. Her job combines all her varied interests and lets her continue to experiment.

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Workshop in Methods, R (software), research methods, text mining, text analysis

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Workshop in Methods