Natural Language Processing (NLP): The Ultimate Course from Beginner to Advanced - Part7
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๐ฅ In this video, we bring everything together in the final NLP Capstone Project โ a full end-to-end pipeline for the travel and hospitality industry.
Youโll take raw hostel and travel reviews, booking inquiries, and customer messages, and transform them into actionable insights using the entire NLP toolkit built across the series. Weโll clean and normalize text, extract structured information with spaCy, score sentiโฆ
Watch on YouTube โ
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Chapters (10)
1. Intro โ What an end-to-end NLP pipeline looks like in the travel domain
2:53
2. Loading the dataset (reviews + inquiries + metadata)
7:36
3. Cleaning & normalization for reliable downstream NLP
9:34
4. spaCy entity extraction โ destinations, nights, room types
12:40
5. Vectorization with TF-IDF for modeling
14:25
6. VADER sentiment analysis for quick polarity scoring
17:45
7. Naive Bayes classifier for predicting review sentiment
22:54
8. Topic modeling on negative reviews (themes in complaints)
24:52
9. Building a unified analyze_message() function
27:19
10. Business insights, extensions, and production considerations
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