TextProc is an automated text processing tool that efficiently and flexibly applies NLP to input documents in a relational database.
This project is structured as a multi-module Maven project for Java 11 and later (tested up to Java 14), where each Maven module corresponds to one JPMS module too. The usage of the Java modules introduced in Java 9 allows for better coupling management, potentially increasing code quality.
This application executes a preprocessing process definition like the one at sample_process.xml, which is composed of steps that
are applied in sequence to input text documents in a relational database, that by default is a SQLite database named corpus.db. The used database can be changed in TextProcPersistence/pom.xml to any that Hibernate supports, and a example of database schema compatible with this application is at TextProc.sql. On Unix-like systems, the application can be launched with the launch.sh script.
For more information about the application and the steps bundled with it, please check out the documentation website. The Javadoc for the project classes is available there, under the "Project Reports" section of the sidebar.