Spam Email Classification Data

Examples of spam emails. The specific number of rows, columns, and data features are not provided in the input.

Use Cases

• Classify emails as spam or not spam based on textual content features.
• Analyze the frequency of specific keywords or phrases commonly found in spam emails.
• Train a text classification model to filter unwanted email messages.

Strengths

• The dataset is tagged for the specific domain of 'Email And Messaging'.
• It is sourced from Kaggle, a known platform for datasets.

Limitations

• The dataset size, feature set, and sample data are unknown, limiting assessment of its scope and utility.
• Without column details, the specific attributes available for analysis are unclear.

Provenance

Source

Kaggle