dbworld-bodies

OpenML dataset with id 1562

Author name not available (Why is that?)

Full work available at URL: https://api.openml.org/data/v1/download/1593758/dbworld-bodies.arff

Upload date: 1 June 2015

Dataset Characteristics

Number of classes: 2
Number of features: 4,703 (numeric: 0, symbolic: 4,703 and in total binary: 4,703 )
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

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.

This page was built for dataset: dbworld-bodies