Web: https://towardsdatascience.com/topic-modeling-with-political-texts-4a9b20b5e91?source=rss----7f60cf5620c9---4

Jan. 14, 2022, 3:48 p.m. | Nima Beheshti

Towards Data Science - Medium towardsdatascience.com

Part II of NLP and Text Analytics series — utilizing LDA

Welcome to Part II of our NLP and Text Analytics series! If you haven’t already had a chance, please read Part I of this series here. To summarize our progress thus far, we began with a corpus of political writings such as “The Prince” by Machiavelli, “The Federalist Papers” by Hamilton/Madison/Jay, and “The Communist Manifesto” by Marx/Engels. From these works we derived text tables and used cosine similarity metric to determine clustering of the respective works as can …

lda machine learning modeling nlp topic modeling unsupervised learning

Statistics and Computer Science Specialist

@ Hawk-Research | Remote

Data Scientist, Credit/Fraud Strategy

@ Fora Financial | New York City

Postdoctoral Research Associate - Biomedical Natural Language Processing and Deep Learning

@ Oak Ridge National Laboratory - Oak Ridge, TN | Oak Ridge, TN, United States

Senior Machine Learning / Computer Vision Engineer

@ Glass Imaging | Los Altos, CA

Research Scientist in Biomedical Natural Language Processing and Deep Learning

@ Oak Ridge National Laboratory | Oak Ridge, TN

W3-Professorship for Intelligent Energy Management

@ Universität Bayreuth | Bayreuth, Germany