Natural language processing projects : build next -generation NLP applications using AI techniques /

Leverage machine learning and deep learning techniques to build fully-fledged natural language processing (NLP) projects. Projects throughout this book grow in complexity and showcase methodologies, optimizing tips, and tricks to solve various business problems. You will use modern Python libraries...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Kulkarni, Akshay (Author), Shivananda, Adarsha (Author), Kulkarni, Anoosh (Author)
Format: Electronic eBook
Language:Inglés
Published: [New York, NY] : Apress, [2022]
Subjects:
Natural language processing (Computer science)
Artificial intelligence.
Natural Language Processing
Artificial Intelligence
Traitement automatique des langues naturelles.
Intelligence artificielle.
artificial intelligence.
Artificial intelligence
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Chapter 1: Natural Language Processing and Artificial Intelligence Overview
  • Chapter 2: Product360
  • Sentiment and Emotion Detector
  • Chapter 3: TED Talks Segmentation and Topics Extraction Using Machine Learning
  • Chapter 4: Enhancing E-commerce Using an Advanced Search Engine and Recommendation System
  • Chapter 5: Creating a Resume Parsing, Screening, and Shortlisting System
  • Chapter 6: Creating an E-commerce Product Categorization Model Using Deep Learning
  • Chapter 7: Predicting Duplicate Questions in Quora
  • Chapter 8: Named Entity Recognition Using CRF and BERT
  • Chapter 9: Building a Chatbot Using Transfer Learning
  • Chapter 10: News Headline Summarization
  • Chapter 11: Text Generation
  • Next Word Prediction
  • Chapter 12: Conclusion and Future Trends.

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