A software component for vine/grape variety named entity extraction and clustering

VineSum is an openMinTeD executable component that, given a collection of documents, it: 

    - Performs NER extraction, identifying four entity types: a) vine varieties b) persons c) locations d) dates.
    - Clusters the documents by taking into account the extracted entities and/or other extracted keywords.

In this course, the following subjects are covered:

    - What tools are necessary, in order to use VineSum.
    - What steps are required to create a new project capable of using VineSum.
    - And finally, how to use VineSum (instructions and example project are provided).
 

Full details

Level of knowledge: Intermediate: able to

Topics

Information Extraction
Named Entity Recognition

Audience

Text and Data miners

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EU flag This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 612425.
This project has also received funding from the European Union's Horizon2020 programme for research, technological development and demonstration under agreement no 741839.