/WebScraping

Done Basic Webscraping using NLP

Primary LanguageJupyter Notebook

Basic_WebScraping

Web Scraping, NLP, and Sentiment Analysis

Welcome to my GitHub repository where we explore the exciting world of web scraping, natural language processing (NLP), and sentiment analysis using Python.

Project Highlights

  • Web Scraping: Gather data from websites and perform basic preprocessing.
  • NLP Sentiment Analysis: Analyze text sentiment using TextBlob.
  • Data Visualization: Visualize sentiment based on polarity and subjectivity.
  • Word Frequency Analysis: Explore word frequency and create word clouds.
  • Real-world Applications: Discover how web scraping and NLP can be applied in various domains.

Getting Started

  1. Clone the repository: git clone https://github.com/sharadpatell/Basic_WebScraping
  2. Explore the Jupyter notebooks to understand the process.

Interactive Elements

  • Execute code in Jupyter notebooks or google colab.
  • Customize and analyze your own text data.

Potential Impact

This project enables you to turn web data into actionable insights. Whether you're a data enthusiast, business professional, or researcher, these techniques have real-world applications.

Let's unlock the potential of web scraping and NLP together! 🚀