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This is a collection of mostly R code to use text mining to analyse conference abstracts, blogs and other sources in an attempt to look for "weak signals" (early signs of new trends), See the wiki pages for background etc.

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arc12/Text-Mining-Weak-Signals

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This github project is for text mining for weak signals, initially in the scope of the TELMap project.

The initial "naive" approach is the "Rising and Falling Terms" method. The first versions of this simply looked for high percentage rise or fall in term frequency (or new terms) and did not attempt any formal statistical hypothesis testing. This version is hived off to the no-binomial branch, which is effectively dead.

The wiki will be used to link out to background material, stuff about TELMap etc.

Everything you find here is provided under an MIT Licence:
## ****************************************
# Copyright (c) Adam Cooper
# 
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
# 
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
# 
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
## ************ end licence ***************

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This is a collection of mostly R code to use text mining to analyse conference abstracts, blogs and other sources in an attempt to look for "weak signals" (early signs of new trends), See the wiki pages for background etc.

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