https://github.com/machinelearningzuu/website-policy-classification
Classify different policy types in websites and detect anomaly policies to analyses scam websites.
https://github.com/machinelearningzuu/website-policy-classification
Last synced: 8 months ago
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Classify different policy types in websites and detect anomaly policies to analyses scam websites.
- Host: GitHub
- URL: https://github.com/machinelearningzuu/website-policy-classification
- Owner: machinelearningzuu
- Created: 2020-10-18T08:07:52.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2021-06-13T14:45:45.000Z (about 5 years ago)
- Last Synced: 2025-02-04T17:17:27.949Z (over 1 year ago)
- Language: Python
- Homepage:
- Size: 505 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# WebSite Policy Classification
Classify different policy types in websites and detect anomaly policies to analyse scam websites. Using LSTM model classify policy text by supervised learning techniques and
using that handle anomaly policy texts to identify scam websutes.
# Techniques
- Supervised Deep Learning
- Unsupervised Deep Learning
- Natural language processing
- Anomaly Detection
# Tools
* TensorFlow - Deep Learning Model
* pandas - Data Extraction and Preprocessing
* numpy - numerical computations
* scikit learn - Advanced preprocessing
### Installation
Install the dependencies and conda environment
```sh
$ conda create -n envname python=python_version
$ activate envname
$ conda install -c anaconda tensorflow-gpu
$ conda install -c anaconda nltk
$ conda install -c anaconda pandas
$ conda install -c anaconda matplotlib
$ conda install -c anaconda scikit-learn
```