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DBWorld e-mails Data Set
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Abstract: It contains 64 e-mails which I have manually collected from DBWorld mailing list. They are classified in: 'announces of conferences' and 'everything else'.

Data Set Characteristics:  

Text

Number of Instances:

64

Area:

Computer

Attribute Characteristics:

N/A

Number of Attributes:

4702

Date Donated

2011-11-06

Associated Tasks:

Classification

Missing Values?

N/A

Number of Web Hits:

6328

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. [Web link]



Citation Request:

Thanks to ACM-SIGMOD for its useful service! :)

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