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dbworld-bodies-stemmed - MaRDI portal

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dbworld-bodies-stemmed

From MaRDI portal
Dataset:6034135



OpenML1561MaRDI QIDQ6034135

OpenML dataset with id 1561

Author name not available (Why is that?)

Full work available at URL: https://api.openml.org/data/v1/download/1593757/dbworld-bodies-stemmed.arff

Upload date: 1 June 2015



Dataset Characteristics

Number of classes: 2
Number of features: 3,722 (numeric: 0, symbolic: 3,722 and in total binary: 3,722 )
Number of instances: 64
Number of instances with missing values: 0
Number of missing values: 0

Description

Author: Michele Filannino Source: UCI Please cite:

  • Dataset:

DBworld e-mails data set Task: dbworld-bodies-stemmed


  • Source:

Michele Filannino, PhD University of Manchester Centre for Doctoral Training Email: filannim_AT_cs.man.ac.uk


  • Data Set Information:

I collected 64 e-mails from DBWorld newsletter and I used them to train different algorithms in order to classify between 'announces of conferences' and 'everything else'. I used a binary bag-of-words representation with a stopword removal pre-processing task before.


  • Attribute Information:

Each attribute corresponds to a precise word or stem in the entire data set vocabulary (I used bag-of-words representation).

  • Relevant Papers:

Michele Filannino, 'DBWorld e-mail classification using a very small corpus', Project of Machine Learning course, University of Manchester, 2011.






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