Topic Analysis to Identify and Classify Environmental Policies in LATAM
November 25th, 2020

By Gijs van den Dool, Galina Naydenova, and Ann Chia   In an 8-week project, 50 technology changemakers from Omdena embarked on a mission to find needles in an online haystack. The project proved that using Natural Language Processing (NLP) can be very efficient t

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Exploring Scientific Literature on Online Violence Against Children Using Natural Language Processing
November 23rd, 2020

The following work is part of the Omdena AI Challenge on preventing online violence against children, implemented in collaboration with John Zoltner at Save the Children US. This article is written by Wen Qing Lim, Maria Guerra-Arias, Sijuade Oguntayo   Tex

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Analyzing Domestic Violence in Lockdowns: From No Data to Building an ML Classifier for Tweets
July 9th, 2020

By Omdena Collaborator Harshita Chopra   Data mining, topic modeling, document annotations, NLP, and stacking machine learning models: A complete journey. Artificial Intelligence and its possibilities have always fascinated me. Making machines learn through data is not

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Using Topic Modeling and Coreference Resolution to Identify Land Conflicts and Its Causes
May 11th, 2020

Improving the accuracy score from 83% to 93% to identify land conflict topics in news articles.   Identifying environmental conflict events in India using news media articles   Part of this project was to scrape news media articles to identify environmental confli

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