https://github.com/rimkomatic/web-service-classification-using-cnn

Long Tailed Service Classification using CNN with 75.76% accuracy
https://github.com/rimkomatic/web-service-classification-using-cnn

cnn cnn-classification lstm lstm-neural-networks machine-learning natural-language-processing nlp-machine-learning pytorch

Last synced: 8 months ago
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Long Tailed Service Classification using CNN with 75.76% accuracy

• Host: GitHub
• URL: https://github.com/rimkomatic/web-service-classification-using-cnn
• Owner: Rimkomatic
• Created: 2025-04-04T18:07:08.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-04-04T20:24:28.000Z (about 1 year ago)
• Last Synced: 2025-04-10T22:48:33.515Z (about 1 year ago)
• Topics: cnn, cnn-classification, lstm, lstm-neural-networks, machine-learning, natural-language-processing, nlp-machine-learning, pytorch
• Language: Python
• Homepage:
• Size: 4.85 MB
• Stars: 3
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# 🌐 Web Service Classification using CNN

This project demonstrates the use of a Convolutional Neural Network (CNN) for classifying web services based on their WSDL files. The data is processed and transformed to train a deep learning model that can predict the service category.

---

## 🧠 Model Overview

A 1D Convolutional Neural Network (CNN) is used to classify the WSDL files into different web service categories. The model is trained on preprocessed data represented as numerical vectors.

---

## 📁 Project Structure

```

Web-Service-Classification-using-CNN/

│

├── input

    ├──  programmable-web                   # Dataset

├── main.py                               # Python File

├── requirements.txt                      # Dependencies

└── README.md                             # Project overview

```

---

## 📦 Requirements

Install dependencies with:

```bash

pip install -r requirements.txt

```