SMS-Spam-Filter [Spam SMS Detection 📨]

SMS-Spam-Filter 📨 utilizes TensorFlow and Keras to detect spam SMS messages. Trained on the SMS Spam Collection Dataset 📩, it preprocesses data, visualizes insights, builds a model, and evaluates accuracy for improved spam detection ✉️.

Table of Contents

• Installation
• Dataset
• Preprocessing
• Model Architecture

Installation

1. Clone the repository:

   git clone https://github.com/your-username/spam-sms-detection.git
   cd spam-sms-detection

2. Install the required libraries:

   pip install pandas matplotlib seaborn wordcloud tensorflow keras scikit-learn

Dataset

The dataset used is the SMS Spam Collection Dataset, consisting of SMS labeled as ham (legitimate) or spam.

Preprocessing

1. Load and explore the dataset:

   import pandas as pd
   
   data = pd.read_csv("/content/SMSSpamCollection", sep='\t', names=["label", "message"])

2. Visualize the data using word clouds

Model Architecture

The model uses an Embedding layer followed by a GlobalAveragePooling1D layer and Dense layers