From 30c0aa07e0a8c46818d3257a0d75acdd0aa9075b Mon Sep 17 00:00:00 2001 From: Jen Looper Date: Sat, 29 May 2021 23:03:27 -0400 Subject: [PATCH] Update README.md --- NLP/2-Tasks/README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/NLP/2-Tasks/README.md b/NLP/2-Tasks/README.md index 3e993535..db80d056 100644 --- a/NLP/2-Tasks/README.md +++ b/NLP/2-Tasks/README.md @@ -2,7 +2,8 @@ For most *Natural Language Processing* tasks, the text to be processed must be broken down, examined, and the results stored or cross referenced with rules and data sets. This allows the programmer to derive the meaning or intent or only the frequency of terms and words in a text. -## [Pre-lecture quiz](link-to-quiz-app). +## [Pre-lecture quiz](link-to-quiz-app) + Let's discover common techniques used in processing text. Combined with machine learning, these techniques help you to analyse large amounts of text efficiently. Before applying ML to these tasks, however, let's understand the problems encountered by an NLP specialist.