TextMod

A REST interface to Text Modeling Tools, currently including topic modeling and keyword modeling.

Usage

Edit config.yml as needed. Then compile and run TextMod itself:

mvn clean package &&
  ./target/appassembler/bin/textmod server config.yml

or use the Dockerfile, docker run -p 8080:8080 -v model-vol:/models $(docker build -q .). The docker volume model-vol will be created if it does not exist. The mounted directory, /models, must match the dataDirectory setting in the configuration file.

Alternatively, you can pull the latest build from Dockerhub:

docker pull huygensing/textmod

and run that version, docker run -p 8080:8080 -v model-vol:/models huygensing/textmod. This version also exposes various Dockerhub build properties at /about:

curl -s localhost:8080/about | jq

Bootstrapping

When the TextMod server starts, it will check the directory bootstrap on the volume that is mapped (cf. -v model-vol:/models):

bootstrap
|
|-- keywords
|
|-- topics

The keywords directory is checked for keyword models; the topics directory is checked for topic models. If a *.zip file is found in one of these directories, it will be unzipped and processed to make the model ready for usage. If this succeeds, the zip file is deleted.

Currently a keyword model file must contain a directory default, as follows:

default
|
|-- word-counts.csv

Currently a topic model file must contain a directory model, as follows:

model
|
|-- termvectors.bin
|
|-- terms
    |
    |-- terms-fr.txt
    |-- terms-la.txt
    |-- terms-nl.txt

Keywords

The endpoint for determining keywords can be tested as follows:

curl -X POST -H "Content-Type: application/xml" \
  http://localhost:8080/keywords -d @example.xml

Here example.xml can be any xml file. The project contains an example.xml containing a file of ePistolarium 2.0.

Topic models

When a topic model is present, search term suggestions can be obtained as follows:

curl -H "Content-Type: application/json" \
  http://localhost:8080/suggest -d '{"query":"Jupiter Saturnus"}'

N.B. Topic model files can be uploaded in zipped form, but this is now deprecated:

curl -F "file=@model.zip;filename=model.zip" http://localhost:8080/models

Cocitation analysis

TextMod can perform a cocitation analysis for persons mentioned in a set of documents. It can be used as follows:

curl -X POST -H "Content-Type: application/json"

http://localhost:8080/cocit -d @documents.json

Here documents.json is a sample input document provided in the project. By default the results is in simple format (a list of cocitations). Other formats are full and graph, e.g.:

curl -X POST -H "Content-Type: application/json" \
  http://localhost:8080/cocit?format=graph -d @documents.json

HuygensING / textmod