Information Retrieval | Part 1

#information_retrieval #mit #nlp

In this series, we're going to explore the concept of Information Retrieval. We'll use information retrieval research as our guide, and build a text search engine of our own using C# .NET. We'll also use Python with Jupyter notebook to explore high-level ideas quickly.

In this video, we'll look at the definition of information retrieval and talk about the concepts of unstructured data, information need, and why we need search engines to work with large amounts of data.

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▬▬▬▬▬▬ 🕘 T I M E S T A M P S 🕘 ▬▬▬▬▬▬
0:00 - Intro
0:22 - Discussion
1:45 - Best book on Information Retrieval
2:15 - Elastic / Solr / Lucene
2:55 - Software Dependencies
4:03 - GitHub Repo
4:45 - IR Book Online
5:43 - Information Retrieval Definition
6:21 - Unstructured Data
9:50 - Information Need
16:48 - Big Data


▬▬▬▬▬▬ 📚 TOPICS OVERVIEW 📚 ▬▬▬▬▬▬
☁️ Overview of Information Retrieval ☁️
► How to Build a Search Engine
► Information Wants
► Unstructured Data
► Big Data
► Search Engine Design

▬▬▬▬▬▬ 🔗 LINKS ▬▬▬▬▬▬
► IR book at Stanford NLP: https://nlp.stanford.edu/IR-book/
► GitHub Repo: https://github.com/wesdoyle/javelin