chengetanaim/sentimentanalysisforfinancialnews

This is a Django application for predicting whether the sentiment of a financial news headline is positive, negative or neutral (from an investor point of view)

SentimentAnalysisForFinancialNews

This is a Django application for predicting whether the sentiment of a financial news headline is positive, negative or neutral.
This project didn't focus on model building, the project for building the model is here - https://github.com/Chengetanaim/SentimentAnalysisForFinancialNewsNotebook
Web scraping tools were used to scrape financial data from the Financial Times website.

What I Did/Learnt:

• loading the model for predicting sentiment of a financial news headline
• use web scraping tools to scrape data from the Financial Times website
• using named entity recognition to detect the main talked about countries in most financial news
• plotting interactive visualizations about sentiment and named entity recognition analytics using Chart js

How to run the program

• Make sure you have python installed on your pc
• In the root folder of the project, run pip install -r requirements.txt using cmd or your text editor
• After the dependencies have been installed, run python manage.py runserver
• Copy the url provided and open it in your browser