Text And Data Mining

The process of extracting high quality and meaningful information from text to answer unknown questions.

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Tutorial : Legal and ethical considerations for sharing research data (clip)

By Irena Vipavc Brvar

Tutorial : TDM and Machine Readability of Open Access research

By Nancy Pontika

Publication year: 2018 | Text And Data Mining

Tutorial : TDM and Machine Readability of Open Access research

By Nancy Pontika

Publication year: 2018 | Text And Data Mining

Les enjeux de l'open access

By université d'Evry Val-d'Essonne

Tutorial: Variable Detection and Linking in Social Sciences Publications

Intended audience Policy makers and Funders, Project Managers, Publishers, Researchers and Students, Text and Data miners
Level: Introductory: no previous knowledge is required

The objective of this tutorial is to showcase how Social Science researchers can take full advantage of the OpenMinTeD TDM platform for Detecting and Linking Variables in Scientific Publications.

OpenMinTeD Use Case Recommender System for Scholarly Resources

Intended audience Policy makers and Funders, Programmers, Researchers and Students, Text and Data miners
Level: Introductory: aware of

This tutorial describes how to use TDM to build a Recommender system for scholarly resources and utilise OpenMinTed platform to build and annotate corpuses for this purpose.

Using the OpenMinTeD platform to build article based HSM - Health State Models

Intended audience Industry and Business, Policy makers and Funders, Project Managers, Publishers, Researchers and Students, Text and Data miners
Level: Introductory: aware of

This tutorial is made up of two parts:
Part I is the OpenMinTED guide to create a workflow that reads from a data source and annotate articles related to chronic liver diseases.
Part II is the guide to use the tools to build a graph displaying the progression between liver conditions.

Liver diseases and p...

Annotating citations of Leica Microsystems products

Intended audience Industry and Business, Policy makers and Funders, Project Managers, Publishers, Researchers and Students, Text and Data miners
Level: Introductory: aware of

Liver diseases and p...

UPFMT Docker Usage Tutorial

Intended audience Text and Data miners, Industry and Business, Programmers, Researchers and Students
Level: Introductory: no previous knowledge is required

This tutorial focuses on using the Docker image to annotate raw text files. It shows how to install the docker system on a machine, how to pull the UPFMT image and how to pass the input/output parameters and instantiate the container. The user simply has to provide an input folder containing any number of files to be annotated (.txt or .xmi) ...

UPFMT Direct API Usage Tutorial

Intended audience Text and Data miners, Industry and Business, Programmers, Researchers and Students, Text and Data miners
Level: Introductory: aware of

This tutorial focuses on using the code directly on a host machine. It gives access to the code (Python) + models and shows the user how to run the code from the console. Also, all the steps needed on how to train new models are given, as well as other pointers. The user will be able to download the code, run a tokenizer/tagger/parser on a se...

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Creative Commons badge Unless otherwise stated, all materials created by the FOSTER consortium are licensed under a CREATIVE COMMONS ATTRIBUTION 4.0 INTERNATIONAL LICENSE.

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.

Text And Data Mining

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