Text Categorisation/document Classification

Text categorisation Is a problem of organising objects, such as documents or named entities, into classes or hierarchies.

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

This tutorial will users through the simple process of creating a workflow in the OpenMinTeD platform that allows them to perform content-based document classification on scientific publications, based on the arXiv, MeSH, ACM and DCC taxonomies.
 

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Using IXA pipes in the OpenMinTeD platform
Intended audience Industry and Business, Programmers, Researchers and Students, Text and Data miners
Level: Introductory: no previous knowledge is required

In this course we will explain how IXA pipes have been integrated as Docker images in the OpenMinTeD (OMTD) platform and how can they be used (http://ixa2.si.ehu.es/ixa-pipes/).

The aim of IXA pipes is to provide a modular set of ready to use Natural Language Processing (NLP) tools. IXA pipes uses the same approach across NLP tasks ...

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Scientific Summarization Services
Intended audience Programmers, Researchers and Students, Text and Data miners
Level: Intermediate: able to

In the current context of scientific information overload in which new knowledge is created at a rapid pace, we propose to develop text summarization services for automatically identifying the most important information of a research article. The work will be based on an adaptation of our current scientific text mining and summarization techn...

Document classification and clustering
By  Martin Krallinger
Publication year: n.d.  |  Text And Data Mining  |  Text Categorisation/document Classification
Discovering, Indexing and Interlinking Information Resources
By  Fabrizio Celli, Johannes Keizer, Yves Jaques, Stasinos Konstantopoulos, Dušan Vudragović
Publication year: 2015  |  Text And Data Mining  |  Text Categorisation/document Classification  |  TDM In Information Retrieval
SemaGrow demonstrator: “Web Crawler + AgroTagger”
By  Fabrizio Celli
Publication year: 2014  |  Text Categorisation/document Classification  |  TDM In Information Retrieval
AgroPortal a proposition for ontology- based services in the agronomic domain
By  Clement Jonquet
Publication year: 2015  |  Text Categorisation/document Classification  |  TDM In Information Retrieval
Data Extraction and Annotation from Viticulture Publications
By  Mihalis Papakonstadinou, Panagiotis Zervas
Publication year: 2016  |  Text Categorisation/document Classification  |  TDM In Information Retrieval
Applying Text Mining Services to Facilitate Discovery and Linking of Wheat Scientific Information and Data
By  Mihalis Papakonstadinou, Panagiotis Zervas
Publication year: 2016  |  Text Categorisation/document Classification  |  TDM In Information Retrieval
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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.