4 Steps of Using Latent Dirichlet Allocation for Topic Modeling in NLP
April 12th, 2021

  Topic Modeling is a technique that you probably have heard of many times if you are into Natural Language Processing (NLP). It is commonly used for document clustering, not only used for text analysis, but also in applications such as search and recommendation en

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Uncovering Infrastructural Needs Using Topic Modelling and NLP
April 6th, 2021

  In the Omdena-ACET challenge, we turned to online information sources, such as social media, newspapers, scientific articles, and websites of institutions involved with infrastructure. Each source provides an abundance of information that’s not possible to anal

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Understanding Climate Change Domains through Topic Modeling
January 9th, 2021

Applying various topic modeling techniques (Top2Vec, LDA, SBERT, etc.) to extract nature-based solution (NbS) adaptation themes from text corpora.   By Bala Priya C, Nishrin Kachwala, Anju Mercian, Debaditya Shome, Farhad Sadeghlo, Hussein Jawad   Although man

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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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