Smriti Singh: NLP for Hate-speech detection: Why does it matter and what can we do? | PyData Hamburg

Talk Description: In a world where social media is becoming one of the most prominent platforms for social impact, there has been a surge in hate speech, cyberbullying and abusive speech on social media. Consequently, there has been an increase in research that aims to automate the detection of offensive content. In this talk, I’ll cover the following topics: 1. What are the most common different forms of hate-speech that we see on social media today? 2. Why is detecting hate-speech important? 3. NLP and Machine Learning for Hate speech detection: An overview 4. NLP and Deep Learning for hate speech detection: An overview 5. NLP and Machine Learning vs Deep Learning: When to use which? 6. How can we help? Examples of open source frameworks and public datasets About Smriti Smriti Singh is an NLP Research Intern at Meedan and also a Research Assistant at The Centre for Artificial and Machine Intelligence, Manipal and an upcoming Data Science Intern at UnitedHealth Group Optum . She is currently studying Information Technology at Manipal Institute of Technology, India. PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: