Topic Modeling Courses and Certifications

Introduction to Natural Language Processing in R

40 ratings at DataCamp

As with any fundamentals course, Introduction to Natural Language Processing in R is designed to equip you with the necessary tools to begin your adventures in analyzing text.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Computing With Natural Language

Learn advanced techniques like word embeddings, deep learning attention, and more. Build a machine translation model using recurrent neural network architectures.

• Udacity
• 25 hours
• Self-Paced
• Paid Course

Open Data Science

Introduction to NLP and Topic Modeling

An introduction to NLP text preprocessing, word embeddings, and topic modeling with latent Dirichlet allocation and contextualized approaches.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Conf42

Unveiling Clustering in BERTopic Topic Modeling

Explore BERTopic clustering for topic modeling, covering HDBSCAN algorithm, density-based spatial clustering, and performance comparisons. Gain insights into advanced text analysis techniques.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Open Data Science

Using Generative AI to Better Understand B2B Audiences: From Topic Modeling to Text Classification

Unlock the potential of Generative AI and ML for B2B audience understanding. Explore innovative techniques in topic modeling and text classification using LLMs to enhance marketing strategies and data-driven decision-making.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Data Science: Natural Language Processing (NLP) in Python

12915 ratings at Udemy

Applications: decrypting ciphers, spam detection, sentiment analysis, article spinners, and latent semantic analysis.

• Udemy
• 11 hours 56 minutes
• Self-Paced
• Paid Course

Applied Unsupervised Learning in Python

Apply unsupervised learning in Python: reduce dimensions with PCA and t-SNE, cluster with k-means and DBSCAN, model topics with LDA, and impute missing data.

• Coursera
• 4 weeks, 8 hours a week
• Self-Paced
• Paid Course

Artificial Intelligence in Social Media Analytics

Apply AI to social media text: build and evaluate ML classifiers, pre-process text with NLTK, run sentiment analysis, and extract topics with LDA and semantic networks.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Natural Language Processing and Capstone Assignment

50 ratings at Coursera

Explore text analytics through sentiment analysis and Latent Dirichlet allocation topic modeling, survey trends like explainable AI, AutoML and IoT, then build a data analytics plan.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Hands-on Text Mining and Analytics

40 ratings at Coursera

Build text mining applications with the y-TextMiner Java toolkit through labs in text preprocessing, term weighting, document classification, sentiment analysis, and topic modeling.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

AI Workflow: Feature Engineering and Bias Detection

86 ratings at Coursera

Apply feature engineering best practices: handle class imbalance, detect model bias with AI Fairness 360, reduce dimensions, flag outliers, and explore text through topic modeling.

• Coursera
• 2 weeks, 6 hours a week
• Self-Paced
• Paid Course

U&P AI - Natural Language Processing (NLP) with Python

1149 ratings at Udemy

Become an NLP Engineer by creating real projects using Python, semantic search, text mining and search engines!

• Udemy
• 5 hours 50 minutes
• Self-Paced
• Paid Course

Applied Natural Language Processing in Engineering Part 1

Learn how modern NLP systems work: text classification, named entity recognition, Word2Vec and GloVe embeddings, gradient descent optimization, topic modeling with LSA and LDA, and dependency parsing.

• Coursera
• 7 weeks, 4 hours a week
• Self-Paced
• Paid Course

Packt

NLP – Machine Learning Models in Python

Build NLP applications in Python: spam detection with Naive Bayes, sentiment analysis with logistic regression, TextRank summarization, and topic modeling with LDA, NMF, and LSA.

• Coursera
• 7 weeks, 1 hour a week
• Self-Paced
• Paid Course

Packt

Python Natural Language Processing Cookbook

Build Python NLP pipelines: preprocess text with NLTK and spaCy, embed with word2vec and BERT, classify, model topics, and apply transformers and LLMs.

• Coursera
• 10 weeks, 1 hour a week
• Self-Paced
• Paid Course