assets/img/portfolio/portfolio-6.png

Twitter Sentiment Analysis

Project information

  • Language: Python
  • Libraries: NLTK (Natural Language Toolkit), Pandas, WordCloud, Seaborn, Matplotlib
  • Project URL: www.github.com

The project focuses on visualizing sentiment distributions derived from Twitter data, emphasizing the prevalence of positive, negative, and neutral sentiments. Utilizing NLP techniques, the project aimed to analyze sentiments expressed in tweets across various topics.
This project showcases my skill in NLP, data analysis, and data visualization, demonstrating my ability to derive meaningful conclusions from large-scale unstructured data sources.