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