From 39b1ac1f08e05d517dd54d241a31b96d2f033d1b Mon Sep 17 00:00:00 2001 From: Vukosi Date: Wed, 8 Nov 2023 15:46:28 +0200 Subject: [PATCH] Update index.html --- index.html | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/index.html b/index.html index 91963f7..1d4b1ad 100644 --- a/index.html +++ b/index.html @@ -8,15 +8,16 @@

Welcome

The text arts - NLP approaches to Data Science

-This class focuses on Natural Language Processing through the lens of a better understanding of how we can protect ourselves from internet based safety threats. You will fight fake news, hate speech, and identify deceptive persons online. +This course explores the diverse real-world applications of Natural Language Processing, with a focus on equipping students with practical data science skills. Through analyzing text data, you will develop techniques to detect misinformation, moderate harmful content, and empower under-resourced languages. By working through use cases like combating fake news and hate speech, to creating better NLP tools for African languages, you will gain hands-on experience applying NLP to tackle impactful problems. This class provides you with a powerful lens to understand language data and drive positive change through emerging technologies.

Note: This is not an official course website. This is an informational site to share some resources for other people who might be interested in resources and research in this area. For UP students who have enrolled on this class information should be accessed through ClickUP!!!

-This class for 2021/2020/2019 was taught by Dr. Vukosi Marivate. +This class for 2023/2022/2021/2020/2019 was taught by Prof. Vukosi Marivate.
-In 2019, this course covered: Defence against the dark text arts - NLP approaches to understanding and defending against cyber threats (fake news, cyber safety and more). Students will still be able to choose these topics. +In 2019, this course covered: Defence against the dark text arts - NLP approaches to understanding and defending against cyber threats (fake news, cyber safety and more). +From 2020 the topics have expanded.
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