Spam SMS Classification Dataset
Spam SMS Classification Dataset
Datasets
Spam SMS Classification Dataset
File
Spam SMS Classification
Use Case
Spam SMS Classification
Description
Explore our comprehensive Spam SMS Classification Dataset designed for NLP and machine learning research. Enhance your spam detection models with labeled SMS data.
Description:
This dataset focuses on classifying SMS messages as spam or not, based on natural language processing (NLP) techniques. It consists of a collection of SMS messages labeled for mobile spam detection, aiding research in filtering unsolicited or harmful messages.
Download Dataset
Data Collection:
The dataset was gathered from publicly accessible sources, making it suitable for research purposes in mobile phone spam identification. It’s designed for use in text-based machine learning models.
Dataset Characteristics:
- Multivariate: Contains multiple features for analysis.
- Text-Based: Comprises SMS text messages for classification.
Subject Areas:
- Computer Science
- Machine Learning
- Deep Learning
Details:
- Structure: Each SMS is labeled as “spam” or “ham” (not spam) to train classification models.
- Applications: Ideal for building spam filters using machine learning algorithms like Naive Bayes, SVM, or neural networks.
- Preprocessing: NLP techniques such as tokenization, stop-word removal, and stemming can enhance model performance.
- Use Case: Beneficial for applications requiring automated message filtering, improving user experience in communication platforms.
- Ethical Considerations: Ensures fair use of personal data, promoting responsible AI practices.
This dataset is sourced from Kaggle.
Contact Us
Quality Data Creation
Guaranteed TAT
ISO 9001:2015, ISO/IEC 27001:2013 Certified
HIPAA Compliance
GDPR Compliance
Compliance and Security
Let's Discuss your Data collection Requirement With Us
To get a detailed estimation of requirements please reach us.