Netflix Stock Price Movements Prediction Using News Sentiment Analysis

This study aims to evaluate the influence of sentiment on stock prices and thereby forecast stock prices on Netflix using machine learning technology. To do this, the author collected information about news articles related to Netflix from the Nasdaq website and Netflix stock prices from the Yahoo Finance website from 2018 to 2022. The author used three machine learning methods including: Multinomial Naive Bayes model with the Bag of Words, Multinomial Naive Bayes model using TF-IDF and Multinomial Naive Bayes model using Word2vec encoding to evaluate the forecasting performance. The results show that the most effective forecasting model is Multinomial Naive Bayes model using Word2vec encoding, from which it is recommended to adjust stock price forecasting models through sentiment from press news, so consider this model in forecast.