Parsing / Analyzing Tweets

This was one of my early software research projects that really got me interested in the world of webscraping/parsing with AI and Python. The project included a variety of different data reading/data analyzation techniques that really helped me build the CS skills I know and use today.

The final product was quite cool as I could pass in a Twitter feed, parse it, and then analyze the tweets from that feed in two ways—through a local parsing library, and an examination of each of the words used in the tweet from an online dictionary of words with specific connotations. Once the information was parsed, it was passed into a local instance of the BERT LLM model on Hugging Face to analyze the sentiment of what is being said. The end goal was to check if someone was at risk of a mental health issue. Take a look at the project below or here