A company wants to analyze customer sentiment about

Solution

Web scraping is the most appropriate method for extracting data from websites or social media platforms like Twitter. It involves automated tools to collect unstructured data, such as tweets or hashtags, for sentiment analysis. Python libraries like Beautiful Soup and Scrapy or Twitter's APIs are commonly used. Web scraping allows real-time data extraction, is scalable, and does not require user participation, unlike surveys or feedback forms. Why Other Options Are Wrong : A) Conducting surveys needs user interaction, unsuitable for analyzing existing data from Twitter. C) SQL queries are limited to querying structured databases, while Twitter data is unstructured. D) Feedback forms provide structured data but can't analyze existing online customer conversations. E) API integration is valid but is usually restrictive due to access limits or predefined data formats.