Named Entity Recognizer and Tag Cloud Example Workflow

The workflow starts with a URL to a NY Times rss news feed. The news feed is downloaded and parsed and transformed in DocumentCells.

Names of persons, organizations and locations are then recognized and the corresponding tags are assigned, in order to apply a coloring based on a tag type later on.

After transformation into a bag of words, and filtering of all non-persons, -organizations, or –locations colors are assigned and the terms are visualized via a Tag Cloud.

This workflow requires the Text Processing and Palladian plugin.

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Tag Cloud organizations, location and persons which have been recognize bei the OpenNLP named entity recognizer. Note that the tag cloud supports hiliting.