14:21
This is a single lecture from a course. If you you like the material and want more context (e.g., the lectures that came before), check ...
1:09:08
Modeling Science: Dynamic Topic Models of Scholarly...
Google Tech Talks May 24, 2007 ABSTRACT A surge of recent research in machine learning and statistics has developed new ...
26:39
An Introduction to Topic Modeling
Summer Institute in Computational Social Science
In this video, Professor Chris Bail gives an introduction to topic models- a method for identifying latent themes in unstructured text ...
10:38
Topic Modeling Explained (LDA, BERT, Machine Learning)🤯📚🔍
Do want personal support with your research? Join my free community now: https://shribe.eu/research-lab ...
45:05
Matti Lyra - Evaluating Topic Models
Description Unsupervised models in natural language processing (NLP) have become very popular recently. Word2vec, GloVe ...
53:20
BERTopic for Topic Modeling - Maarten Grootendorst - Talking Language AI Ep#1
Go in-depth into BERTopic with creator Maarten Grootendorst. We explore three important pillars of the package, modularity, ...
4:20
Introduction to Topic Modeling - (Learn Natural Language Processing using Python)
This module is a part of our video course: Natural Language Processing (NLP) using Python Explore the full video-course on ...
15:04
How to use BERTopic - Machine Learning Assisted Topic Modeling in Python
Python Tutorials for Digital Humanities
Join this channel to get access to perks: https://www.youtube.com/channel/UC5vr5PwcXiKX_-6NTteAlXw/join If you enjoy this ...
1:04:16
Prof. David Blei - Probabilistic Topic Models and User Behavior
The School of Informatics at the University of Edinburgh
David Blei, Professor of Statistics and Computer Science at Columbia University, delivered a lecture entitled 'Probabilistic Topic ...
35:28
BERT for Topic Modeling - EXPLAINED!
NLP with BERT! Topic Modeling with BERT Transformers Follow me on M E D I U M: ...
15:08
The Best Way to do Topic Modeling in Python - Top2Vec Introduction and Tutorial
Python Tutorials for Digital Humanities
Join this channel to get access to perks: https://www.youtube.com/channel/UC5vr5PwcXiKX_-6NTteAlXw/join If you enjoy this ...
17:59
Structured Topic Modeling (STM) in R: A Step-by-Step Guide for Beginners
Want to quantify thematic shifts and topic evolution across your research data? Structured Topic Modeling (STM) is an advanced ...
1:00:58
Topic Modeling Explained with Implementation | Using LDA in Python | DataHour by Arpendu Ganguly
Natural Language Processing is one of the most trendier areas of Data Science! Within NLP, one of the key, yet less talked about, ...
6:01
Intuition behind Latent Dirichlet Allocation (LDA) for Topic Modeling
LDA Topic Models is a powerful tool for extracting meaning from text. In this video I talk about the idea behind the LDA itself, why ...
9:07
Latent Dirichlet Allocation (LDA) | Topic Modeling | Machine Learning
This video is a short, theoretical introduction to defining the Latent Dirichlet Allocation (LDA) parameters for topic modeling.
27:34
BEST: Do topics make a metaphor: topic modeling for metaphor identification and analysis in Russian
Yulia Badryzlova, Anastasia Nikiforova and Olga Lyashevskaya Do topics make a metaphor: topic modeling for metaphor ...
26:21
Topic modeling with R and tidy data principles
Watch along as I demonstrate how to train a topic model in R using the tidytext and stm packages on a collection of Sherlock ...
17:31
4.5 Topic modeling (UvA - Information Retrieval - 2021)
Slides are available at https://bit.ly/3B45aSv. This work is licensed under a Creative Commons Attribution 4.0 International ...
5:56
What is Laten Dirichlet Allocation LDA (Topic Modeling for Digital Humanities 03.01)
Python Tutorials for Digital Humanities
In this video, we explore LDA Topic Modeling. LDA stands for Laten Dirichlet Allocation. This is a way of identifying multiple topics ...
8:09
LDAvis: A method for visualizing and interpreting topic models
ASA Statistical Computing & Graphics Sections
This video (recorded September 2014) shows how interactive visualization is used to help interpret a topic model using LDAvis.