Topic Modeling Courses and Certifications

Microcredential

Text Marketing Analytics

Explora métodos avanzados de análisis de marketing como clasificación de texto, modelado de temas y análisis de redes semánticas usando Python, ideal para profesionales en ciencia de datos.

• Coursera
• 17 weeks, 3 hours a week
• On-Demand
• Paid Course

Hands-on Text Mining and Analytics

40 ratings at Coursera

Learn key text mining techniques like preprocessing, sentiment analysis, and topic modeling using real-world datasets and a Java toolkit. Gain hands-on experience to become a competent data scientist.

• Coursera
• 13 hours 8 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Natural Language Processing in R

Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Topic Modeling in R

Learn how to fit topic models using the Latent Dirichlet Allocation algorithm.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Text Mining for Marketing

Learn text mining techniques for marketing decisions. Analyze customer feedback, monitor brand reputation, and gain insights from unstructured data. Explore challenges, future trends, and ethical implications in this field.

• Coursera
• 20 hours 45 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Text Analysis in R

22 ratings at DataCamp

Learn to analyze text data using R's tidy framework. Covers wrangling, visualization, sentiment analysis, and topic modeling techniques for extracting insights from various text sources like social media and product reviews.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

NPTEL;  IIT Madras

Applied Natural Language Processing

Explore natural language processing techniques, from corpus operations to advanced neural networks, for applications in machine translation, topic modeling, and conversation systems.

• YouTube
• 1 day 2 hours
• On-Demand
• Free Video

Probabilistic Topic Models and User Behavior

Explore latent thematic structures in document collections and user behavior data. Learn how topic modeling algorithms can enhance predictions and understanding of collection organization.

• YouTube
• 53 minutes
• On-Demand
• Free Video

Hands-On Natural Language Processing

173 ratings at LinkedIn Learning

Learn to use natural language processing to make sense of text data and derive useful insights.

• LinkedIn Learning
• 50 minutes
• On-Demand
• Free Trial Available

LinkedIn AI Academy AI-100: 3 Scaling AI at LinkedIn

118 ratings at LinkedIn Learning

Explore the basics of AI applications and how they’re scaled at LinkedIn, in the third part of the LinkedIn AI Academy AI-100 series.

• LinkedIn Learning
• 1 hour 43 minutes
• On-Demand
• Free Trial Available

Mining Data from Text

21 ratings at Pluralsight

This course discusses text and document feature vectors that can be passed into machine learning models, topic modeling using Latent Semantic Analysis, Latent Dirichlet Allocation, Non-negative Matrix Factorization, and keyword extraction using RAKE.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Building Knowledge Graphs with Python

14 ratings at Pluralsight

This course will teach you how to create knowledge graphs out of textual information. It will show you how to extract information such as topics and entities and uncover how they are linked into so-called knowledge graphs.

• Pluralsight
• 1-2 hours
• On-Demand
• Free Trial Available

Analyzing Text on AWS with Amazon Comprehend

11 ratings at Pluralsight

Understanding what text means usually requires a human to read and think about the text. This course shows you how to use Amazon Comprehend's machine learning based models to programmatically draw insights and understanding from almost any text.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Julia Silge

Topic Modeling for Spice Girls Lyrics

Explore topic modeling using R to analyze Spice Girls lyrics, uncovering hidden themes and patterns in their music through unsupervised machine learning techniques.

• YouTube
• 30 minutes
• On-Demand
• Free Video

IEEE

Are Anonymity-Seekers Just like Everybody Else? An Analysis of Contributions to Wikipedia from Tor

Análisis de contribuciones anónimas a Wikipedia a través de Tor, comparando calidad y patrones con otros tipos de usuarios para evaluar el impacto de bloquear proxies de privacidad.

• YouTube
• 17 minutes
• On-Demand
• Conference Talk