Skip to content

subhamyadav580/SMS-Spam-Classifier-Using-Different-Machine-Learning-Algorithms

Repository files navigation

SMS-Spam-Classifier-Using-Different-Machine-Learning-Algorithms

This shows the classification of SMS or email whether is it spam or ham

Context

The SMS Spam Collection is a set of SMS tagged messages that have been collected for SMS Spam research. It contains one set of SMS messages in English of 5,574 messages, tagged acording being ham (legitimate) or spam.

Content

The files contain one message per line. Each line is composed by two columns: v1 contains the label (ham or spam) and v2 contains the raw text.

This corpus has been collected from free or free for research sources at the Internet:

  • A collection of 425 SMS spam messages was manually extracted from the Grumbletext Web site. This is a UK forum in which cell phone users make public claims about SMS spam messages, most of them without reporting the very spam message received. The identification of the text of spam messages in the claims is a very hard and time-consuming task, and it involved carefully scanning hundreds of web pages. The Grumbletext Web site is: Web Link.
  • A subset of 3,375 SMS randomly chosen ham messages of the NUS SMS Corpus (NSC), which is a dataset of about 10,000 legitimate messages collected for research at the Department of Computer Science at the National University of Singapore. The messages largely originate from Singaporeans and mostly from students attending the University. These messages were collected from volunteers who were made aware that their contributions were going to be made publicly available. The NUS SMS Corpus is avalaible at: Web Link.
  • A list of 450 SMS ham messages collected from Caroline Tag's PhD Thesis available at Web Link.
  • Finally, we have incorporated the SMS Spam Corpus v.0.1 Big. It has 1,002 SMS ham messages and 322 spam messages and it is public available at: Web Link. This corpus has been used in the following academic researches:

About

This shows the classification of SMS or email whether is it `spam` or `ham`

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published