For banks, telecoms, retailers, and travel providers, NLP can classify complaints, survey comments, and chat logs so teams can spot recurring issues faster than manual reading.
Virtual Training
Artificial Intelligence, Automation, and Machine Learning
Natural Language Processing (NLP) for Text Analytics Online Course
Join our virtual, live instructor-led session and master Natural Language Processing (NLP) for Text Analytics Training from anywhere in the world.
5 Days
Duration
Live Online
Delivery
7 Dates
Available
Certificate
Included
Master Natural Language Processing to transform text data, enhance decision-making, and optimize business outcomes through advanced analytical techniques.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| NLP-02 | Weekend (4 Weeks) | USD 850 | Reserve my seat → Register my team → | ||
| NLP-02 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → | ||
| NLP-02 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → | ||
| NLP-02 | Weekend (4 Weeks) | USD 850 | Reserve my seat → Register my team → | ||
| NLP-02 | Weekend (4 Weeks) | USD 850 | Reserve my seat → Register my team → | ||
| NLP-02 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
1
Introduction to NLP and Text Analytics
2
Text Data Preprocessing Techniques
3
Applying NLP Models
4
Sentiment Analysis for Customer Insights
5
Entity Recognition and Language Modeling
6
Interpreting Text Analytics Results
7
Enhancing NLP with AI and Automation
8
Stakeholder Engagement and Compliance
9
Setting Targets and Tracking Progress
10
Presenting Results and Building Buy-in
Market-specific guidance for Cambodia
A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.
Tools and platforms relevant to this field
5Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.
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Power BI MicrosoftUsed to present sentiment trends, topic summaries, and operational dashboards from text analytics outputs.
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Tableau SalesforceUsed to visualise survey comments, customer themes, and service-performance patterns for management reporting.
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Python Python Software FoundationUsed for building NLP pipelines, preprocessing Khmer and English text, and training or evaluating text models.
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spaCy ExplosionUsed for tokenisation, named entity recognition, and text classification workflows in applied NLP projects.
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Hugging Face Transformers Hugging FaceUsed to fine-tune and deploy modern transformer-based models for text classification, summarisation, and sentiment analysis.
Where this course runs
Natural Language Processing (NLP) for Text Analytics Training is delivered in the cities below — pick the one that fits your schedule.
