Tweet Analyzer

• Tech Stack: Python, Twitter API, GUI
• Github URL: Project Link

In the Twitter Data Analysis Tool project, I harnessed advanced techniques in sentiment analysis, topic modeling, and summarization to unveil meaningful insights from vast volumes of user-generated content. I expertly employed the VADER model for sentiment analysis and the Latent Dirichlet Allocation (LDA) model for topic modeling, enabling a deeper understanding of user sentiments and conversations.

Additionally, I played a pivotal role in creating an intuitive user interface using Tkinter, empowering users to interact seamlessly with the tool and gain valuable insights. Through my contributions, the project showcased the potential of modern technologies to extract actionable insights from dynamic social media interactions.