text-spam-detection-system
所属分类：数值算法/人工智能
开发工具：Python
文件大小：0KB
下载次数：0
上传日期：2023-10-11 05:53:59
上 传 者：
sh-1993
说明： 这是一款电子邮件SMS垃圾邮件检测应用程序，使用多标称朴素贝叶斯模型进行预测，准确率为97.0%。
(This is a Email SMS spam detection app that uses Multinominal Naive Bayes model to make prediction with an accuracy score of 97.0%.)
文件列表:
.idea/ (0, 2023-11-04)
.idea/inspectionProfiles/ (0, 2023-11-04)
.idea/inspectionProfiles/Project_Default.xml (825, 2023-11-04)
.idea/inspectionProfiles/profiles_settings.xml (174, 2023-11-04)
.idea/misc.xml (318, 2023-11-04)
.idea/modules.xml (288, 2023-11-04)
.idea/spam-sms-detection.iml (352, 2023-11-04)
.idea/vcs.xml (180, 2023-11-04)
app.py (1730, 2023-11-04)
models/ (0, 2023-11-04)
models/model.pkl (96605, 2023-11-04)
models/vectorizer.pkl (160718, 2023-11-04)
requirements.txt (34, 2023-11-04)
# Email/SMS-spam-detection-system
## Introduction:
Spam detection systems play a crucial role in safeguarding our digital communication channels from unwanted, fraudulent, or malicious content. This SMS/Email Spam Detection Web Application is designed to help users identify and filter out spam messages, whether they arrive via text messages or emails.
## Why Spam Detection?
In an era where digital communication is essential, the volume of unsolicited and potentially harmful messages has surged. Spam emails and SMS messages can range from annoying marketing promotions to phishing attempts and malware delivery. An effective spam detection system is essential for recognizing and filtering out these spam messages.
## Technologies uses:
- Python, pandas and numpy
- Streamlit
- MultiNominal Naive bayes machine learning algorithm
- nltk library
- sci-kit learn, ect
## Testing
To access the web app follow link- https://text-spam-detection-system-8oqenhhkagkzpcg7yxfx96.streamlit.app/
近期下载者：
相关文件：
收藏者：