From e624447a99ee72b148acc7e185c57146d60a675e 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 3e9935357..db80d056f 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.