![Build Status](https://camo.githubusercontent.com/83e78af801e351f68011d204d384abd6a9fa210b5e3e763e3520eba26ed80790/68747470733a2f2f7472617669732d63692e6f72672f6e616c696d696c616e2f522e54654d69532e737667)
The R.TeMiS (R Text Mining Solution) project consists in several R packages:
- a text mining package, R.temis
![R.temis on CRAN](https://camo.githubusercontent.com/9d6f63634f093b421d9702b6ba05bdd6fa1b822caa2c57b7472139572361dabf/687474703a2f2f7777772e722d706b672e6f72672f6261646765732f76657273696f6e2f522e74656d6973)
- a graphical user interface, RcmdrPlugin.temis
![RcmdrPlugin.temis on CRAN](https://camo.githubusercontent.com/4925cd57e5220443c29c63a89141de482c1a19a6f59f3082eb81b04df1e83157/687474703a2f2f7777772e722d706b672e6f72672f6261646765732f76657273696f6e2f52636d6472506c7567696e2e74656d6973)
- a wrapper around Martin Porter's Snowball stemming library, SnowballC
![SnowballC on CRAN](https://camo.githubusercontent.com/fed9e7b2bc9cd35e685d724dc01e86ffcbd4d3b3c705abe62e783519c523bb22/687474703a2f2f7777772e722d706b672e6f72672f6261646765732f76657273696f6e2f536e6f7762616c6c43)
- a series of tm plugins to import corpora from various sources:
- tm.plugin.alceste
![tm.plugin.alceste on CRAN](https://camo.githubusercontent.com/2a8af9ef1d0e15963d86fc531e2c05015fced37ef55eb361fb1136ea4d0b157e/687474703a2f2f7777772e722d706b672e6f72672f6261646765732f76657273696f6e2f746d2e706c7567696e2e616c6365737465)
- tm.plugin.europresse
![tm.plugin.europresse on CRAN](https://camo.githubusercontent.com/fe4dbb24d7027a4f70bad2a284df261a92f10c28185b9a54ddc3488dce75fe60/687474703a2f2f7777772e722d706b672e6f72672f6261646765732f76657273696f6e2f746d2e706c7567696e2e6575726f707265737365)
- tm.plugin.factiva
![tm.plugin.factiva on CRAN](https://camo.githubusercontent.com/431e0d53927da12baf0f407b206f5c68980d0546eb45480bbbb4df9f8c18aa2f/687474703a2f2f7777772e722d706b672e6f72672f6261646765732f76657273696f6e2f746d2e706c7567696e2e66616374697661)
- tm.plugin.lexisnexis
![tm.plugin.lexisnexis on CRAN](https://camo.githubusercontent.com/383259f6941421776d496d92e84471968fca8067c3e39005f0f5a43b947359cf/687474703a2f2f7777772e722d706b672e6f72672f6261646765732f76657273696f6e2f746d2e706c7567696e2e6c657869736e65786973)