This page is under construction! ==== General ==== * **Infomap NLP Software: Not in development any more. The authors recommend to use SemanticVectors instead!!!** * Uses Latent Semantic Analysis * The implementation is in C. * Documentation: http://infomap-nlp.sourceforge.net/doc/ * Infomap is intended to build `language models' and to perform information retrieval tasks on the such models * Simple input format * You might need gdbm libraries. I had troubles installing this libraries in my laptop. In the present moment it is not working. * The documentation includes installation instructions, algorithm description and implementation guide. --- //[[eapontep@uos.de|Eduardo Aponte]] 2010/10/31 12:28// ==== Installation ==== * Before installing Infomap you would have to install gdbm libraries in your computer. This could be quite challenging. In the following I document the installation process I followed. - As a first step, you should download the last version of gdbm. - Untar the .gz file and go into the created directory. - Try: ./configureThis command should try to configure the program to your system specifications. It is highly likely that this process fails. The most likely reason is that a system library called libtool is not version compatible. To check your version of this program (in ubuntu):apt-cache policy libtool. I presuppose you have libtool installed in your computer. You probably have a newer version of libtool as the one presuppose by the gdbm package. The solution I found was to run:autoconf -f -oconfigure - The last overwrote all the libtool-related files in the directory. Now you can run make safely. If you obtain the following error -which actually is highly unlikelychecking build system type... Invalid configuration `x86_64-unknown-linux-gnu': machine `x86_64-unknown' not recognizedyou will need to deceive the program. Add before any command:linux32 - You might also have problems with the ANSI c headers. To solve this problemsudo apt-get install libc6-dev ==== Testing ===== The first step in order to build a model is to choose a directory where the models will be created. This is done by setting an environment variable INFOMAP_WORKING_DIR=/home/jrandom/infomap_models export INFOMAP_WORKING_DIR Afterwards run build the model. Informap accepts two formats: a single file where documents are divided by xml markers or as set of files, where every file contains exactly one document. I decided to use this second option. As input, there should be a file specifying the name of file containing a document.infomap-build -m /usr/local/share/corpora/manyNames.txt many_01 Remember to add Infomap to your PATH variable. The installation includes a manual of all the applications available. In corpora directory, you will find a simple py script for building a corpora from a file where every line is a document. Afterwards I used the following command:infomap-build -m /net/data/CL/projects/wordspace/software_tests/corpora/infoCorpus/directory.txt firstModel In order to change the default configuration of the model, you would need to change the file: ??. I ran tests only with the default configuration (including reduction to 100 dimension). 'directory.txt' is a file containing the name of every file-document in the directory where the corpus is saved. Although the manual doesn't specify what markers should be used, including every file-name in a new line works out. The option '-m' (or '-sf' for single file) specifies the type of corpus. Finally, 'fistModel' is the name of the model created in 'INFOMAP_WORKING_DIR'. Two tests were run and the resulting models are available in the server: firstModel (using approximately 30000 documents -minus corrupted documents- in the Wiki Corpus. Constructing the model took me less than five minutes and the resulting directory occupies 65Mb. {{:software:vizinfo1.png|}} A second test was conducted again with the Wiki-Corpus, this time with 200000 documents. Constructing the model take less than 10 minutes. The resulting directory occupies 312Mb {{:software:vizinfo2.png|}} In order to access the models, the standard command isassociate [] Among the option, it is possible to obtain a word vector, the nearest neighbors of a word, or the word-document vector. Consider:associate -m -d -i d -n 10 document_100.txt document_100.txt:1.000000 document_80694.txt:0.925041 document_162763.txt:0.919077 document_95383.txt:0.917450 document_176694.txt:0.915522 document_155572.txt:0.914388 document_197410.txt:0.912332 document_101202.txt:0.909776 document_144550.txt:0.909703 document_164895.txt:0.908825 This command retrieves the information from the model in , in particular, the output should be again 10 (-n 10 ) documents (-d ), the input should be a document (- i d ). The input is the document 'document_100.txt'. (In the server you would find the document in './infoCorpus'). After performing associate -m -w -i d -n 10 document_100.txt i.e., looking for words instead of document close to 'document_100.txt' the result was:seemingly:0.731527 angry:0.699753 kid:0.693340 girlfriend:0.676348 jake:0.658571 boyfriend:0.656249 scare:0.652340 vicious:0.651290 feel:0.649538 bizarre:0.643888 This turned out to be the entry of Kubricks film "The Clock Work Orange" :-). The most related document corresponds to the film [[http://www.youtube.com/watch?v=tcSMDqXT52s|"Pretty in Pink"]] An interesting option provided by Infomap is to install a model. This option is preferred for fina results, which should be available to several users. Following the manual, installing a model is not much more than moving a selected number of files from a non-installed model directory to a directory available system-wide. This option is intended to keep intermediate and final results apart.