#Chambua Chambua is an open-source semantic tagging application. By exposing a simple REST API, it provides a convenient way to analyse text and extract words/terms that can be classified as people, places & organisations. It can also recognise nationalities, religions, expressions of time and monetary values.
The semantic extraction layer is powerd by Stanford CoreNLP natural language analysis toolset
To install Chambua on your system, the following packages must be installed:
Stanford CoreNLP provides a set of pre-trained classifiers. These can be downloaded from here. The trained classifiers can be found in the classifiers directory of the extracted archive
git clone git://github.com/ushahidi/Chambua.git
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mkdir -p /etc/chambua export CHAMBUA_HOME=/etc/chambua -
cp src/main/resources/chambua.properties.sample /etc/chambua/chambua.propertiesOpen
chambua.propertiesand pointchambua.classifier.dirto the directory with Stanford CoreNLP classifers extracted from the archive you dowloaded in Step (1) above.
mvn tomcat7:run-war
Chambua exposes a single endpoint - /v1/tags - that accepts HTTP POST requests.
NOTE: For the following examples to work, you have to be in the directory where you cloned the project
To use the build you have just created in the preceding step:
curl -H "Content-Type:application/json" -X POST -d @data/sample_001.txt http://localhost:8080/chambua/v1/tags
Alternatively, you can use our publicly hosted Chambua install:
curl -H "Content-Type:application/json" -X POST -d @data/sample_001.txt http://chambua.ushahidi.com/v1/tags
- Emmanuel Kala (@bytebandit)