tlhogi84/RandSentimentTweets

Using Social Media to Evaluate Sentiment towards the South African Rand # Twitter Rand Sentiment Analysis # Overview This repository contains the resources related to the article "Decoding Rand Sentiment in the Hashtag Economy." The article explores sentiment analysis of Twitter data related to the South African Rand (ZAR) and its potential implications for currency dynamics. # Contents * notebooks/: Jupyter notebooks with python code used for data collection, sentiment analysis, and visualization. * README.md : This file, providing an overview of the project. # How to Use Navigate to the relevant file Adapt the code in Jupyter notebook to complete your own analysis # Prerequisites Python 3.x # Acknowledgments The analysis in this repository was inspired by the work of Travis Adams, Andrea Ajello, Diego Silva, and Francisco Vazquez-Grande. Their research on Twitter chatter and financial market sentiment provided valuable insights. # Further Exploration This repository is a starting point for understanding sentiment analysis and its potential impact on currency dynamics. To further explore and refine the analysis, consider experimenting with different data sources, advanced sentiment analysis techniques, or incorporating machine learning models. # License This project is licensed under the Apache License 2.0