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AI/ML with Python: Web Scraping & Sentiment Analysis

Sentiment analysis is a crucial application that enables businesses, politicians, and marketers to gauge public sentiments and perceptions about products or figures.

  • Part 1: Data Extraction and Preprocessing through Webscraping
  • Part 2: Sentiment Analysis Tools
  • Part 3: Analyzing Stock Data Sentiments with NLP

Part 1: Data Extraction and Preprocessing through Webscraping image

  • Step 1: Applications of Web Scraping
  • Step 2: Ethical and Legal Considerations of Webscraping
  • Step 3: Fetching Raw HTML Content from the Web
  • Step 4: Understanding Regular Expression
  • Step 5: Webscraping with BeautifulSoup
  • Step 6: Introduction to Selenium

Part 2: Sentiment Analysis Tools image

  • Step 1: Introduction to Sentiment Analysis
  • Step 2: Types of Sentiment Analysis
  • Step 3: Sentiment Analysis Models & Algorithms
  • Step 4: Introduction to VADER
  • Step 5: Introduction to AFINN
  • Step 6: N-Grams for Model Fine Tuning
  • Step 7: Sentiment Analysis with Naive Bayes Classifier
  • Step 8: Sentiment Analysis with Logistic Regression

Part 3: Analyzing Stock Data Sentiments with NLP image

  • Step 1: Beginning with the Context
  • Step 2: Understanding the Given Materials
  • Step 3: Launching Notebook and Completing the task

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