Projects using NLTK in Nigeria
Projects using NLTK in Nigeria
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USMAN AKINTOBI
Context-Aware Fintech User Feedback Classification & Urgency Detection Most feedback tools stop at sentiment; positive or negative. This project goes further by building a decision-driven NLP system that classifies fintech user feedback by issue type and detects operational urgency, enabling smarter triage and escalation. What was built: Two machine learning models trained on manually collected and annotated app store reviews from real fintech platforms like Revolut, Wise, and Monzo: Issue Classifier: categorizes feedback into 9 classes including transaction issues, account security, KYC, refunds, app performance, and fraud Urgency Detector: binary classifier that flags high-risk feedback requiring immediate attention, optimized for recall to minimize missed critical cases
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25
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Daniel Ajayi
Movie-Recommenders-System-ALX-project-
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8
1
Ibikunle Adekiitan
Machine learning Medical Recommendations system
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1
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Tserundede Ejueyitchie
Sentiment Analysis of Hotel Reviews
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1
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Mayowa Adebanjo
Custom Assistant for an Insurance Firm
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3
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William Alabi
English-to-Hebrew Translation with Gemma 2
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0
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Daniel Ajayi
Opay-Google-Play-Store-Sentiment-Analysis
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9
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Mayowa Adebanjo
Multilingual Chat Assistant in Rasa
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6
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