Textual data are everywhere; social media posts, keywords, URLs, page titles and more. They also come with a lot of numbers that describe them. How we can extract meaning from text data on a large scale? What techniques can we use to quickly figure out important topics, users, or maybe products, in a set of textual data?This is a tutorial that uses data science techniques to solve these questions.
from SEMrush blog https://www.semrush.com/blog/text-analysis-for-online-marketers/
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