World Happiness Index based on News Sentiment

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To undertake the World Happiness Index based on News Sentiment project, the following prerequisites are recommended:

  1. Python Programming: Students should have a solid understanding of the Python programming language, including knowledge of data types, variables, control structures (such as loops and conditionals), functions, and object-oriented programming concepts.

  2. Web Scraping: Familiarity with web scraping techniques using libraries such as BeautifulSoup or Scrapy would be beneficial. Learners should know how to extract data from web pages and navigate through HTML structures.

  3. Sentiment Analysis: Learners should have a fundamental understanding of sentiment analysis concepts and techniques. You can refer to the following tutorial for a deep dive into Sentiment Analysis.

  4. Version control systems: Students should know how to create repositories, commit changes, and collaborate with others using Git. This will help in managing and tracking project code and facilitate teamwork.

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