Text Retrieval and Search Engines

4.48

Updated on

Course overview

Provider
Coursera
Course type
Free online course
Level
Mixed
Deadline
Flexible
Duration
31 hours
Certificate
Paid Certificate Available
Course author
ChengXiang Zhai

Description

Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. Text data are unique in that they are usually generated directly by humans rather than a computer system or sensors, and are thus especially valuable for discovering knowledge about people’s opinions and preferences, in addition to many other kinds of knowledge that we encode in text. This course will cover search engine technologies, which play an important role in any data mining applications involving text data for two reasons. First, while the raw data may be large for any particular problem, it is often a relatively small subset of the data that are relevant, and a search engine is an essential tool for quickly discovering a small subset of relevant text data in a large text collection. Second, search engines are needed to help analysts interpret any patterns discovered in the data by allowing them to examine the relevant original text data to make sense of any discovered pattern. You will learn the basic concepts, principles, and the major techniques in text retrieval, which is the underlying science of search engines.

Similar courses

Foundations: Data, Data, Everywhere
  • Flexible deadline
  • 20 hours
  • Certificate
Ask Questions to Make Data-Driven Decisions
  • Flexible deadline
  • 18 hours
  • Certificate
Introduction to Statistics
  • Flexible deadline
  • 15 hours
  • Certificate
Text Retrieval and Search Engines
  • English language

  • Recommended provider

  • Certificate available