Web & Text Mining with Python | Wikipedia Sentiment Analysis Project
In this video I walk through my web mining project built in a Jupyter Notebook.
I scraped the Wikipedia page for The Legend of Zelda using Python's requests
and BeautifulSoup libraries, extracted key sections (Title, Introduction,
Conception & Production, Main Content, and References), and applied sentiment
analysis using TextBlob.
Topics covered:
Fetching and parsing HTML with requests + BeautifulSoup
Extracting specific sections by HTML tag and id
Cleaning text with regular expressions
Sentiment analysis (polarity + subjectivity) with TextBlob
Visualizing results with matplotlib
Full code available on GitHub: https://github.com/Brad-exe
#Python #DataScience #WebMining #NLP #SentimentAnalysis #JupyterNotebook