NLP models and text-analytics workflows must cope with Romanian morphology, spelling variation, and mixed-language inputs, so teams benefit from practical training in preprocessing, tokenization, and model evaluation on local data.
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 Romania
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
4Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.
-
Microsoft Power BI MicrosoftUsed to build dashboards that present NLP outputs such as sentiment trends, topic frequencies, and case-volume patterns to business stakeholders.
-
Azure AI Language MicrosoftUsed for text analytics tasks such as sentiment analysis, key phrase extraction, and entity recognition in enterprise workflows.
-
Google Cloud Natural Language Google CloudUsed to analyse large sets of text for sentiment, entities, and classification when teams need managed cloud NLP services.
-
IBM Watson Natural Language Understanding IBMUsed for extracting concepts, entities, categories, and sentiment from documents and customer feedback.
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.
