Quickly analyze financial news to predict short term volatility in the markers.
The main purpose of this app was to explore an unlabeled dataset scrapped from the web and build a classifier that can predict the sentiment(opinion) of financial news articles.
- Python
- Natural language processing
- NLTK
- Pandas
- Numpy
- sklearn
- Classification
- beautifulsoup
- learned how to scrape news data from different news sources
- learned how to label news based on lexicon of negative/positive words
- learned how to clean text data and vectorize it for machine learning models
- trained and evaluated different machine learning models