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Beginner-Level Text-Mining of Conference Abstracts (Abandoned Repo from 2013)

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R_text_mining

tl;dr: For a visualization see https://rapps.shinyapps.io/wordcloud01/

Please wait 1-2 minutes for the app to startup, and load the corpora.

This repo contains the preprocessing-scripts for the above-mentioned Shiny-App (whose code is hosted in an extra repository here on Github)

R project from 2013, abandoned

(Part 1) Perform text-mining on abstracts of science contributions, presented at the AGU Fall Meeting 2012, San Francisco. This was a big annual conference for Earth scientists, in particular geophysicists and geologists.

Use R to draw interesting conclusions from a subset of the 23000 abstracts submitted. (These are not included with this repository.)

(Part 2) Perform text-mining on abstracts of science contributions, to be presented at the EGU General Assembly 2013, Vienna (see below). This is also a big annual conference for Earth scientists, in particular geophysicists and geologists.

Both AGU and EGU conferences have the same target audience, and they even share a similar classification system of scientific subfields. That means the conference tracks/sessions have the same titles. So the two datasets could be merged.

Use R to draw interesting conclusions from a subset of the 11000 abstracts submitted. (These are also not included with this repository.)

Results from this project were presented at EGU General Assembly 2013, a conference in Vienna to happen in April 2013. There will be a poster about text-mining in R, on beginner level.

For more information about the code, read the CONFIGURATION_AND_USAGE.md file. To learn even more, please read the documentation in the "doc" directory of this repo for an explanation of what the scripts are doing.

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Beginner-Level Text-Mining of Conference Abstracts (Abandoned Repo from 2013)

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