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Dexi.io’s simple UI will guide you through customizing your own web scraper, and their direct integration with MonkeyLearn can save you an extra step.You can get the data you need with no coding required: It’s easy to automate YouTube data collection with web scraping tools. You first need to collect the YouTube reviews and export them as a CSV or Excel file. Let’s dig in and find out how users feel about the Galaxy Note20.
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With MonkeyLearn’s suite of text analysis tools, you can gather YouTube data, then analyze and visualize it in just 6 steps. Tutorial: Sentiment Analysis on YouTube Comments We’ll be sentiment analyzing a YouTube comments dataset from a video of Samsung’s Galaxy Note20 Ultra release.
#Octoparse scrape youtube how to#
All those unguarded opinions and open customer feedback are free for the taking when you have the right tools in place.įollow the tutorial below to learn how to perform sentiment analysis on YouTube comments. YouTube users continue to grow by the day, and YouTube comments can provide a wealth of information and actionable insights for any brand. Yet, it goes largely untapped when it comes to opinion mining and social listening. With 2 billion monthly active users, YouTube is the 2nd most popular social media platform and, based on total visitors and page views, 2nd only to Google as the world’s most visited website. Sentiment analysis is a machine learning technique that can analyze comments about your brand and your competition for opinion polarity (positive, negative, neutral, and beyond).Īlso known as opinion mining, it’s a powerful tool that can be put to work on massive datasets to automatically understand the feelings and emotions behind statements and testimonials from all over the web, like YouTube comments, Yelp reviews, Facebook comments, and thousands of tweets. Get Even More Fine-Grained With Your Data.How to Perform Sentiment Analysis on YouTube Comments.