Text Retrieval and Search Engines
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.
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- Level Foundation
- المدة 31 ساعات hours
- الطبع بواسطة University of Illinois Urbana-Champaign
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Offered by
عن
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.الوحدات
About the Course
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6
Readings
6
Readings
- Welcome to Text Retrieval and Search Engines!
- Syllabus
- About the Discussion Forums
- Updating your Profile
- Social Media
- Course Errata
Orientation Activities
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2
Videos
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1
Plugin
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2
Assignment
2
Assignment
- Orientation Quiz
- Pre-Quiz
2
Videos
- Course Welcome Video
- Course Introduction Video
Week 1 Information
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1
Readings
1
Readings
- Week 1 Overview
Week 1 Lessons
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6
Videos
6
Videos
- Lesson 1.1: Natural Language Content Analysis
- Lesson 1.2: Text Access
- Lesson 1.3: Text Retrieval Problem
- Lesson 1.4: Overview of Text Retrieval Methods
- Lesson 1.5: Vector Space Model - Basic Idea
- Lesson 1.6: Vector Space Retrieval Model - Simplest Instantiation
Week 1 Activities
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2
Assignment
2
Assignment
- Week 1 Practice Quiz
- Week 1 Quiz
Week 2 Information
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1
Readings
1
Readings
- Week 2 Overview
Week 2 Lessons
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6
Videos
6
Videos
- Lesson 2.1: Vector Space Model - Improved Instantiation
- Lesson 2.2: TF Transformation
- Lesson 2.3: Doc Length Normalization
- Lesson 2.4: Implementation of TR Systems
- Lesson 2.5: System Implementation - Inverted Index Construction
- Lesson 2.6: System Implementation - Fast Search
Week 2 Activities
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2
Assignment
2
Assignment
- Week 2 Practice Quiz
- Week 2 Quiz
Week 3 Information
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1
Readings
1
Readings
- Week 3 Overview
Week 3 Lessons
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6
Videos
6
Videos
- Lesson 3.1: Evaluation of TR Systems
- Lesson 3.2: Evaluation of TR Systems - Basic Measures
- Lesson 3.3: Evaluation of TR Systems - Evaluating Ranked Lists - Part 1
- Lesson 3.4: Evaluation of TR Systems - Evaluating Ranked Lists - Part 2
- Lesson 3.5: Evaluation of TR Systems - Multi-Level Judgements
- Lesson 3.6: Evaluation of TR Systems - Practical Issues
Week 3 Activities
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2
Assignment
2
Assignment
- Week 3 Practice Quiz
- Week 3 Quiz
Honors Track Programming Assignment
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1
Readings
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1
Programming
- Programming Assignment 1
1
Readings
- Programming Assignments Overview
Week 4 Information
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1
Readings
1
Readings
- Week 4 Overview
Week 4 Lessons
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7
Videos
7
Videos
- Lesson 4.1: Probabilistic Retrieval Model - Basic Idea
- Lesson 4.2: Statistical Language Model
- Lesson 4.3: Query Likelihood Retrieval Function
- Lesson 4.4: Statistical Language Model - Part 1
- Lesson 4.5: Statistical Language Model - Part 2
- Lesson 4.6: Smoothing Methods - Part 1
- Lesson 4.7: Smoothing Methods - Part 2
Week 4 Activities
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2
Assignment
2
Assignment
- Week 4 Practice Quiz
- Week 4 Quiz
Week 5 Information
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1
Readings
1
Readings
- Week 5 Overview
Week 5 Lessons
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8
Videos
8
Videos
- Lesson 5.1: Feedback in Text Retrieval
- Lesson 5.2: Feedback in Vector Space Model - Rocchio
- Lesson 5.3: Feedback in Text Retrieval - Feedback in LM
- Lesson 5.4: Web Search: Introduction & Web Crawler
- Lesson 5.5: Web Indexing
- Lesson 5.6: Link Analysis - Part 1
- Lesson 5.7: Link Analysis - Part 2
- Lesson 5.8: Link Analysis - Part 3
Week 5 Activities
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2
Assignment
2
Assignment
- Week 5 Practice Quiz
- Week 5 Quiz
Week 6 Information
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1
Readings
1
Readings
- Week 6 Overview
Week 6 Lessons
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10
Videos
10
Videos
- Lesson 6.1: Learning to Rank - Part 1
- Lesson 6.2: Learning to Rank - Part 2
- Lesson 6.3: Learning to Rank - Part 3
- Lesson 6.4: Future of Web Search
- Lesson 6.5: Recommender Systems: Content-Based Filtering - Part 1
- Lesson 6.6: Recommender Systems: Content-Based Filtering - Part 2
- Lesson 6.7: Recommender Systems: Collaborative Filtering - Part 1
- Lesson 6.8: Recommender Systems: Collaborative Filtering - Part 2
- Lesson 6.9: Recommender Systems: Collaborative Filtering - Part 3
- Lesson 6.10: Course Summary
Week 6 Activities
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1
Plugin
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2
Assignment
2
Assignment
- Week 6 Practice Quiz
- Week 6 Quiz
Honors Track Programming Assignment
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1
Programming
- Programming Assignment 2
Auto Summary
Explore the dynamic world of text data with the "Text Retrieval and Search Engines" course, designed for data science and AI enthusiasts. Led by expert instructors from Coursera, this foundational course delves into search engine technologies crucial for text data mining. Over 1860 minutes, you'll master key concepts, principles, and techniques in text retrieval, essential for analyzing human-generated data like web pages, articles, and social media. Ideal for beginners, the course offers a Starter subscription to jumpstart your learning journey into the realm of search engines and data interpretation.
ChengXiang Zhai