Email Spam

Email spam is a type of unsolicited electronic mail (email) that is sent in bulk to a large number of recipients. Spam is often used to send viruses, malware, and phishing scams. It can also be used to promote products or services.

Email spam data is a collection of emails that have been labeled as spam or not spam. This data can be used to train and test spam filters, as well as to study the characteristics of spam emails.

Email spam data typically includes the following fields:

Email: The full text of the email, including the subject and body.
category: spam /non-spam.
Body: The body of the email.
Email spam data can be collected from a variety of sources, including:

Public datasets: Datasets of spam emails that have been made available for research purposes.
Email spam data is a valuable resource for researchers and practitioners who are working on spam filtering and email classification.

Here are some of the ways that email spam data can be used:

To train and test spam filters: Spam filters can be trained on email spam data to learn the characteristics of spam emails. This allows the filters to more accurately identify spam emails in the future.
To study the characteristics of spam emails: Email spam data can be used to study the characteristics of spam emails, such as the language used, the types of attachments, and the sender's email address. This information can help researchers to develop better spam filters and to understand the motivations of spammers.
To develop new spam filtering techniques: Email spam data can be used to develop new spam filtering techniques. For example, researchers can use machine learning to develop algorithms that can automatically identify spam emails.
Email spam data is an important resource for researchers and practitioners who are working on spam filtering and email classification.