From 450b3957bbaccbab78536c1069696d12dff69067 Mon Sep 17 00:00:00 2001 From: Jeannette E Date: Thu, 19 Aug 2021 13:04:23 +0200 Subject: [PATCH] Update 01-introduction.md As part of my "check out to become Carpentry Instructor" I have added a few lines to an introductory section (right now called FIXME). I have added a reference to Wikipedia, which is a great starting point - even for Carpentry lessons. --- _episodes/01-introduction.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/_episodes/01-introduction.md b/_episodes/01-introduction.md index 70619d7..e91ed95 100644 --- a/_episodes/01-introduction.md +++ b/_episodes/01-introduction.md @@ -15,7 +15,10 @@ keypoints: Welcome to this hands-on lesson to learn some text and data mining skills. We will first run through some of the basics that you will need when exploring and analysing text. ## What is Text Mining? -FIXME + +Text mining, or text analysis, is a method using natural language processing (NLP) and computer science to transform unstructured data or text from documents, websites or databases into a more manageable structured corpus suitable for using machine learning (ML) algorithms. The purpose is to gain a deeper understanding and discover patterns in the content being analysed. +According to [Wikipedia](https://en.wikipedia.org/wiki/Text_mining) text mining involves discovery by computer of new, previously unknown information, by automatically extracting information from different written resources. +Text mining tasks include a broad range of methods, from text categorization, text clustering, concept extraction and even production of granular taxonomies or document summarization. ## Terminology