Financial Sentiment Analysis using ML algorithms and Deep learning
goal is to build a sentiment analysis model for financial news articles. The provided dataset consists of news headlines from various financial sources, along with their corresponding sentiment labels (positive, negative, or neutral). to create a machine learning or deep learning model that can accurately classify the sentiment of new financial news headlines. Dataset: The dataset can be found at the following Kaggle link: Financial Sentiment Analysis Dataset The dataset contains the following columns: ● headline: The text of the financial news headline. ● sentiment: The sentiment label for the headline, which can be positive, negative, or neutral.
https://www.kaggle.com/datasets/sbhatti/financial-sentiment-analysis