Technical requirements
Before diving into the implementation of our project, it’s essential to ensure that we have all the necessary tools and dependencies in place. This section will outline the technical requirements needed for our project setup.
- Python 3.7 or later (https://www.python.org/)
- Flask (https://flask.palletsprojects.com/)
- PyTorch (https://pytorch.org/get-started/locally/)
- NLTK (https://www.nltk.org/install.html)
- Pandas (https://pandas.pydata.org/)
- Scikit-learn (https://scikit-learn.org/stable/index.html)
Data Set
Download the Sentiment140 dataset from the provided link http://cs.stanford.edu/people/alecmgo/trainingandtestdata.zip. This dataset will serve as the foundation for our sentiment analysis project.
Integrated Development Environment (IDE)
Choose and set up an IDE for coding convenience. Options include PyCharm (https://www.jetbrains.com/pycharm/download/), Visual Studio Code (https://code.visualstudio.com/),...
