The virtual course "Text recovery and search engines - Virtual Course - Coursera", is a course with different contents and that offers video classes of Approx. 31 hours to complete. Explore its essential features, and click the orange button to get detailed information on the Coursera e-Learning platform
Recent years have seen dramatic growth in natural language text data, including web pages, news articles, scientific literature, emails, business documents, and social media such as blog articles, forum posts, user reviews, etc. products and tweets.
Text data is unique in that it is typically generated directly by humans rather than by a computer system or sensors, and is therefore especially valuable for uncovering insights about people's opinions and preferences, in addition to many other kinds of insights. that we encode in the text.
This course will cover search engine technologies, which play an important role in any data mining application involving text data for two reasons.
First, while the raw data can be great for any particular problem, it is often a relatively small subset of the data that is relevant.
and a search engine is an essential tool for quickly discovering a small subset of relevant text data in a large collection of text.
Second, search engines are needed to help analysts interpret any patterns discovered in the data by allowing them to examine the relevant source text data to make sense of any patterns discovered.
You will learn the basics, principles, and main techniques of text retrieval, which is the underlying science of search engines.
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University of Illinois at Urbana-Champaign
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