Sentiment analysis is the study of subjective information in an expression, such as opinions, assessments, feelings, or attitudes about a topic, person, or thing. Expressions can be categorized as positive, negative, or neutral. For example, "I really love the new design of your website!"
You can use sentiment analysis to see how your audience reacts to your business. This can include tweets, reactions to ads, people tagging your brand, leaving reviews on various websites and so on.
You can get this data from various websites using various free web scraping tools depending upon which platform you are planning to extract data from. Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites.
https://www.youtube.com/watch?v=XVv6mJpFOb0
Here, as an example, we can use the book Deep Learning by Aurelien Geron as the product that we are performing sentiment analysis on. I have obtained the data by scraping various websites like Amazon, Goodreads, Reddit and Quora. You can obtain your data from the sources relevant to you like Capterra, G2, Twitter and so on.
<aside> ⚠️ Note: Do not include paid-for reviews or reviews from collaborators/friends/people whom you personally know as it might skew the results.
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https://docs.google.com/spreadsheets/d/1y00h4LnKBIzPqIF3p23dzlkPX6Cs8b5xUy9OxTRwxWg/edit?usp=sharing