Using NLP Libraries to Discover What the Internet Says about Omdena
May 31st, 2021

In this article, you will learn an end-to-end NLP project building right from scraping Google data, Twitter, etc. using NLP libraries. How to make a word cloud and sentiment analysis to running a summarization algorithm and finally deploying the code in the form of a pa

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Internet Safety for Children: Using NLP to Predict the Risk Level of Online Games, Websites, and Applications
November 20th, 2020

The following work is part of the Omdena AI Challenge on improving internet safety for children, implemented in collaboration with John Zoltner at Save the Children US. This blog was written by Sabrina Carlson and co-authored by Erum Afzal. Contributors include Anna

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Analyzing Mental Health and Youth Sentiment Through NLP and Social Media
September 5th, 2020

By Mateus Broilo and Andrea Posada Cardenas   We are living in an era where life passes so quickly that mental illness has become a pivotal issue, and perhaps a bridge to some other diseases. As Ferris Bueller once said: “Life moves pretty fast. If you don’t st

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Student Debt Crisis: Analysing Sentiments, Repayment, and Wellbeing of Students through AI | ShapingEDU
June 7th, 2020

by Nancy Rubin, Arizona State University ShapingEDU Innovator in Residence   The “Applying AI to the Student Debt Crisis” project is entering week 5 and we are moving along at a fast pace. With just 3 more weeks to go in our eight-week project, some areas of fo

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NLP Clustering to Understand Social Barriers Towards Energy Transition | World Energy Council
June 2nd, 2020

Using NLP clustering to better understand the thoughts, concerns, and sentiments of citizens in the USA, UK, Nigeria, and India about energy transition and decarbonization of their economies. The following article shares observatory results on how citizens of the world

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