Module 5: Natural Language Processing (NLP), Sentiment Analysis, and Applied Large Language Models (LLMs)

Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2022015095
S$720
Original: S$2,400
Save S$1,680

About This Course

At the end of this 2-day module, participants will be able to:
• Extract natural language features from text data
• Implement sentiment analysis
• Run text classification
• Execute topic modeling

What You'll Learn

Real-world business analytics questions inherently deal with text data. The data could be sourced from customers, employee reviews, speeches and publications of organisational leaders, and articles from media outlets. In this module, participants will learn how to deal with such text data, with a particular focus on customer and employee reviews. The module will provide lessons on pre-processing text data, natural language features (e.g., tokenisation, stop words, stemming, word embeddings), and feeding features developed from text mining into modeling processes. Participants will run sentiment analysis and execute unsupervised learning on text data with topic modeling to discover hidden clusters within them.

Entry Requirements

Participants should have some knowledge or experience in Python programming (equivalent to that attained in SMU Academy's Professional Certificate in Python Programming programme).

Course Details

Duration 17 hours
Language English
Training Commitment Not specified
Total Enrolled 38 students
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