Topic: "tfidfvectorization"
Tritonix711/Spam-Filter-AI
Spam Filter AI is a project in Python that uses machine learning to detect spam emails. It uses Natural Language Processing (NLP) and Naive Bayes classification. The program reads email content, converts it into useful data with TF-IDF vectorization, and then decides if the email is spam or not, keeping your inbox clean and organized.
Language: Python - Size: 43.9 KB - Last synced at: 1 day ago - Pushed at: 9 months ago - Stars: 11 - Forks: 2
Kool-Cool/Kool-Cool-Movie-Recommendations-Flask
The provided code snippet performs movie recommendation based on movie metadata using the TMDB Movie Metadata dataset from Kaggle.
Language: Python - Size: 95.7 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
Ashad777/Twitter-Sentiment-Analysis
Twitter Sentiment Analysis.This repository implements a sentiment analysis model to classify tweets as Positive, Negative, Neutral, or Irrelevant using TF-IDF Vectorization and Random Forest. It includes text preprocessing, tokenization, and data visualizations to explore sentiment distribution.
Language: Jupyter Notebook - Size: 1.08 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
