Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
Learning objectives
- Master spaCy installation and basics for professional applications in tourism
- Develop skills in tokenization and lemmatization tailored to hotel reviews
- Design NLP pipelines to extract named entities from restaurant customer feedback
- Implement sentiment analysis to identify satisfaction trends in hospitality
- Optimize pre-trained spaCy models for company-specific certified needs
- Deploy spaCy scripts in production for real-time tourism review monitoring
The Learni story
Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
Don't let this gap widen
Why this program matters
Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Program
Module 1spaCy Fundamentals: Installation, Tokenization, and Lemmatization (Python, fr_core_news_sm models)
Discover rapid spaCy installation via pip and conda, configure your first pipelines with the French fr_core_news_sm model, practice tokenization on hotel customer reviews to break sentences into useful words, apply lemmatization to normalize verb forms in restaurant feedback, complete practical exercises on real tourism datasets, produce your first tokenized reports as concrete deliverables, consolidate basics in small groups for immediate retention.
Module 2Named Entity Recognition and POS Tagging with spaCy: Extract Locations, People (Custom Rules, Visualizers)
Dive into POS tagging to identify nouns and verbs in hotel reviews, extract named entities such as tourist locations and specific hotels using spaCy models, create custom rules to detect restaurant complaints, use displaCy for interactive analysis visualization, apply to real TripAdvisor/Yelp cases adapted to French tourism, develop batch scripts to process 1000 reviews in 5 minutes, generate entity tables as actionable deliverables for marketing teams.
Module 3Sentiment Analysis and spaCy Deployment: Custom Models, API Integration (Vader, TextBlob Hybrid)
Master sentiment analysis with spaCy and Vader extensions to score positivity in customer reviews, fine-tune models on hospitality data via simple training loops, integrate pipelines into Flask APIs for live tourism monitoring, test on real scenarios of customer loss due to poor reviews, deploy Docker containers for enterprise scalability, produce interactive Streamlit dashboard as final deliverable, review in collaborative workshops for professional competency certification.
Evaluation method
- Daily interactive quizzes on spaCy concepts applied to tourism
- Final project: complete analysis of a hotel reviews corpus with report
- Qualiopi certificate issued upon validated competency thresholds
Learning method
- Active pedagogy 70% practical, 30% theory based on real hospitality cases
- Hands-on exercises with shared Jupyter notebooks and provided tourism datasets
- Individualized feedback from certified coach, adapted to beginner level
- 30-day post-training support via dedicated pro spaCy Slack channel
Methods, materials and delivery
The Training spaCy - Analyze Customer Reviews in Tourism and Hospitality program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training spaCy - Analyze Customer Reviews in Tourism and Hospitality program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training spaCy - Analyze Customer Reviews in Tourism and Hospitality program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
Verified reviews
What our learners
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
Our method
Training quality, guaranteed at every step
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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