anushka23g/Twitter-sentiment-Analysis ? reverse-engineered prompt

Build me a simple Twitter sentiment analysis project in Python that takes a dataset of tweets and shows the percentage of positive, negative, and neutral tweets.

I want it to use a lexicon based approach with TextBlob or similar natural language processing tools, and if it helps, include a small script that can pull tweets too. The main goal is for someone to drop in a CSV or text file of tweets and get an easy summary of sentiment results, plus maybe a few example outputs so it is obvious the analysis is working.

Please make it easy to run in a notebook or from a Python file, with clear steps for loading data, cleaning text, analyzing sentiment, and displaying the final percentages in a simple chart or printed summary. If you need to check current library docs online, go ahead. Keep it beginner friendly and make the code readable so I can understand and reuse it later.