The standalone version is sufficient for testing purposes and applications that do not use an extremely large database.
To use this version locally one has to install docker before (https://docs.docker.com/install/). Having done this, the command
docker run -it -d -p 3666:3838 -p 3667:8787 -p 3668:8983 -v r_data:/home/rstudio/iLCM -v r_data:/srv/shiny-server -v solr:/var/solr/data -v mariadb:/var/lib/mysql ckahmann/ilcm
does pull the image from dockerhub and starts a container hosting the needed services.
One can set port mappings to diffrent ports on their local system. Per default the 3 services are available on this ports:
Please make sure the selected Ports (3666, 3667, 3668) are not already blocked on your system. If this is the case, feel free to user others.
Docker Compose Version
Installation of Alpha Release
Current Version iLCM: 0.96
Linux/Mac:Download Install File
Windows 10 Pro:Dowload Install File
Windows Toolbox:Dowload Install File
Please follow the instructions in the install instructions.
tmca (Text Mining for Content Analysis) for R
The LCM is based on a library providing basic processing abstractions for text mining. Especially the application of text mining to social science content analysis is reflected in this library. The library is a basically a wrapper around quanteda, R spaCy, lda, liblineaR and many more in order to provide a convenient and methodologically sound access to those tools. The reprository can be found here:
The visual access to the toolsets of the tmca package are integrated into a R Shiny App. The visual component, the TMCA package and storage capabilities (Docker, Solr, Maria DB) for the LCM service architecture.