### Project idea: Fake News Detector with Python Members: me (Allie) ### Purpose - Train model using headlines from recent news - Create easy tool for distinguishing fake news from real news ### Technicals - Able to sort table data from csv/tsv format - Use TfidfVectorizer to create model - Use python packages such as pandas and matplotlib to process data, build classifications - Javascript documentation in notebook ([1](https://nighthawkcoders.github.io/APCSA//techtalk/javascript)) ### Timeline - Week 1: Practice with tools, document hacks (pandas, news api/dataset, matplotlib) with notebooks ([1](https://nighthawkcoders.github.io/APCSP/2023/03/09/AP-unit2-3.html)) ([2](https://paravsalaniwal.github.io/T3Project/student/2023/04/25/Combined-Lesson-Plan.html)) ([3](https://nighthawkcoders.github.io/APCSP/2023/05/16/DS-sorts_search.html)) - Week 2: Start practicing with modeling software and document in notebook - Week 3: Start training model with data set, find more if given one doesn't work out - Week 4: Finish model, make sure it can return output and embed with frontend JS notebook ### References - [GeeksforGeeks](https://www.geeksforgeeks.org/fake-news-detection-using-machine-learning/) - [Kaggle data](https://www.kaggle.com/datasets/kashnitsky/hierarchical-text-classification?select=val_10k.csv) - [Matplotlib](https://matplotlib.org/)
Project idea: Fake News Detector with Python
Members: me (Allie)
Purpose
Technicals
Timeline
References