DBWorld电子邮件分类数据集

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

搜集汇总

背景与挑战

背景概述

DBWorld电子邮件分类数据集包含64封来自DBWorld newsletter的电子邮件，用于二分类任务（区分'会议公告'和'其他内容'），采用二进制词袋表示并经过停用词移除预处理。该数据集规模较小（153K），适用于自然语言处理中的文本分类研究，属于互联网信息-电子商务类别。