You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
In today's digital age, misinformation spreads rapidly, significantly impacting public perception and decision-making. This project employs word embeddings using spaCy to effectively distinguish between fake and real news, enhancing the accuracy of information verification and contributing to the fight against misinformation. 📰🔍💡
The SMS Spam Collection v.1 📱 is a curated dataset consisting of 5,574 SMS messages in English, meticulously categorized as either legitimate (ham) or spam. This corpus serves as a valuable resource for research in SMS spam detection and filtering.🔍💬