When does class start/end?
Class hours may vary, please reach out to contact@ascendientlearning.com if you have any questions.
Advanced Natural Language Processing
Apply advanced NLP techniques across text problems that generative AI alone cannot solve. Linguistic foundations, text parsing, and processing cover morphemes, syntax, tokenization, stemming,...
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$1,665USD
Duration
2 days
Course Code
DS-3201
Available Formats
Classroom
Overview
Course Description
Apply advanced NLP techniques across text problems that generative AI alone cannot solve. Linguistic foundations, text parsing, and processing cover morphemes, syntax, tokenization, stemming, part-of-speech tagging, and named-entity recognition through TextBlob and spaCy. Word embeddings and language models cover Bag-of-Words, TF-IDF, Word2Vec, GloVe, FastText, and embedding evaluation. Classification and information extraction cover sentiment analysis, text classification, topic modeling, key information extraction, automated tagging, and entity resolution, with explicit attention to bias in training data. Advanced applications cover machine translation, transformers, the BERT family, adversarial attacks, and GPT. Hands-on labs produce trained text classifiers, embedding-based document similarity tools, and topic models on real-world corpora. The course is designed for data scientists, analysts, and developers with Python and DS-2204 experience.
Skills Gained
By the end of this course, participants will be able to:
- Apply advanced NLP techniques to build sophisticated language models
- Apply linguistic concepts to enhance text processing
- Build and evaluate word embeddings and language models
- Implement sentiment analysis and text classification for actionable insights
- Apply topic modeling and information extraction to uncover hidden patterns
Who Can Benefit
This course is designed for:
- Data Scientists & Analysts
- Software Developers
Prerequisites
Participants should enter this course with:
- Practical Python experience
- DS-2204 or equivalent
Organizational Objectives
This course assists organizations to:
- Reduce text-processing cost through deliberate embedding and tokenization choices
- Improve classification accuracy through bias-aware training-data practices
- Build a working advanced-NLP capability across data-science teams
- Establish topic-modeling and entity-resolution patterns that compound across projects
Software
All attendees must have a modern web browser and an Internet connection.
Course Details
Course Details
Module 1 - Linguistic Concepts and Natural Language Processing
By the end of this module, you will be able to articulate why machines need to understand language, work with morphemes, syntax, and semantics, recognize the role of linguistics in NLP, and apply historical NLP approaches alongside modern techniques.
- Why have machines that understand written language?
- Morphemes, Syntax and Semantics
- Key challenges in NLP
- The role of linguistics in NLP
- Historical approaches to NLP
- Applications of NLP in real-world scenarios
- Hands-on Lab: Understand speech through word counts and plan a small linguistics project.
Module 2 - Text Parsing and Processing
By the end of this module, you will be able to tokenize, stem, and lemmatize text; tag parts of speech; perform named-entity recognition; and use TextBlob and spaCy for these tasks.
- Tokens and Stemming/Lemmatization
- Part-of-speech tagging
- Named-entity recognition
- POS and NER with TextBlob and spaCy
- Hands-on Lab: Use spaCy to lemmatize a document and run named-entity recognition over a corpus.
Module 3 - Word Embeddings and Language Models
By the end of this module, you will be able to apply Bag-of-Words, TF-IDF, and statistical embeddings; use Word2Vec, GloVe, and FastText; learn embeddings from text with language models; and evaluate and visualize the resulting embeddings.
- What are word embeddings?
- Bag-of-words, TF-IDF, and Statistical Embeddings
- Word2Vev, GloVe, and FastText
- Learning embeddings from text with language models
- Properties of embeddings
- Evaluating and visualizing word embeddings
- Hands-on Lab: Use Word2Vec to find similar documents and cluster documents with word embeddings.
Module 4 - Sentiment Analysis and Text Classification
By the end of this module, you will be able to apply text-classification methods, run sentiment analysis with TextBlob, interpret sentiment in text, recognize sentiment-analysis limitations, and reason about bias in NLP training data.
- Text Classification Methods
- Using TextBlob for sentiment analysis
- Understanding Sentiment in Text
- Limitations of Sentiment Analysis
- Sentiment analysis as a classification task
- Understanding bias in NLP training data
- Hands-on Lab: Classify text with TextBlob and analyze the sentiment of customer reviews.
Module 5 - Topic Modeling and Information Extraction
By the end of this module, you will be able to apply unsupervised learning to text, run topic modeling with spaCy, extract key information, automate document tagging, and apply relationship extraction and entity resolution.
- Unsupervised Learning on Text
- Topic Modeling Use Cases
- Topic modeling with spaCy
- Extracting key information from text
- Automated document tagging and processing
- Relationship extraction and entity resolution
- Hands-on Lab: Identify topics in a text corpus and build a graph of named entities.
Module 6 - Advanced NLP Applications
By the end of this module, you will be able to apply machine translation and text completion, work with transformers and the BERT family, recognize adversarial attacks on NLP classifiers, and apply GPT-style transformers.
- Machine translation
- Text completion
- Transformers - “Attention is all you need”
- The BERT family of transformer-based language models
- Adversarial attacks on NLP classifiers
- GPT: The generative pre-trained transformer
- Hands-on Lab: Use BERTopic for topic modeling and apply a small language model to text classification.
Schedule
FAQ
Does the course schedule include a Lunchbreak?
Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.
What languages are used to deliver training?
Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.
What does GTR stand for?
GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.
How do I find an Ascendient Learning training location?
We have training locations across the United States and Canada - View a complete list of classroom training locations.
Which delivery formats are available?
At Ascendient Learning, we offer training that is Instructor-Led, Online, Virtual, and Self-Paced.
Does Ascendient Learning deliver group training?
Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.
What does vendor-authorized training mean?
As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.
Is the training too basic, or will you go deep into technology?
It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.
How up-to-date are your courses and support materials?
We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.
Are your instructors seasoned trainers who have deep knowledge of the training topic?
Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.
Do you provide hands-on training and exercises in an actual lab environment?
Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.
Will you customize the training for our company’s specific needs and goals?
We will work with you to identify training needs and areas of growth. We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.
How do I get started with certification?
Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.
Will I get access to content after I complete a course?
You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.
How do I request a W9 for Ascendient Learning?
View our filing status and how to request a W9.
Reviews
ExitCertified gave me some good trainings and I got to learn through doing labs.
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I found this course informative. It was easy to follow and provided some good information.
Overall it was a good bootcamp. A lot to cover so it is understandable that the pace had to be a little fast.
The class covered the concepts needed for the AWS Cloud Practitioner Certification.
