Ideal for teams that…
Hands-on AI and data analytics workshops — built around your team's real cases.
Install and configure spaCy for NLP
Perform basic text operations: tokenization, lemmatization, stopword removal
Carry out syntactic analysis, named entity recognition (NER), and sentiment analysis
Build and train text classification models with spaCy
What we actually do
- · Introduction to NLP: definitions and applications
- · Overview of NLP tools and techniques
- · Installation and configuration
- · Overview of spaCy modules and core functions
- · Text tokenization (words and sentences)
- · Lemmatization and stopword removal
- · Morphological analysis
- · Implementing basic text processing operations
- · Analyzing simple text datasets
- · Part-of-speech (POS) tagging
- · Dependency parsing and parse trees
- · Techniques for recognizing named entities
- · Methods for sentiment analysis in text
- · Creating and training text classification models
- · Using spaCy corpora to build custom NLP models
From brief to retro in 30 days.
Brief & diagnosis
A call with the team lead + a short survey for participants. We define goals, gap and context.
Program customization
We adapt modules, case studies and code examples to your stack. Approval in 5 days.
Workshop
Trainer-led sessions, hands-on, code review. Mentor available between sessions too.
Retro + report
Outcome report for the team and lead. 30 days of consulting included.
Send a brief. We'll reply within 1 day.
After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.
Thank you!
We'll get back to you within 1 business day.
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