1563 dbworld-subjects-stemmed 1 **Author**: Michele Filannino **Source**: UCI **Please cite**: * Dataset: DBworld e-mails data set Task: dbworld-subjects-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. 1 ARFF 2015-06-01T22:32:10 Public https://api.openml.org/data/v1/download/1593759/dbworld-subjects-stemmed.arff https://openml1.win.tue.nl/datasets/0000/1563/dataset_1563.pq 1593759 Class ChemistryLife Sciencemf_less_than_80study_123 public https://openml1.win.tue.nl/datasets/0000/1563/dataset_1563.pq active 2018-10-03 21:40:35 05090effdc1449379806a4760969270d