Natural Language Processing Projects
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Natural Language Processing Projects
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Author : Akshay Kulkarni
language : en
Publisher: Apress
Release Date : 2021-12-04
Natural Language Processing Projects written by Akshay Kulkarni and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-04 with Computers categories.
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 and algorithms to build end-to-end NLP projects. The book starts with an overview of natural language processing (NLP) and artificial intelligence to provide a quick refresher on algorithms. Next, it covers end-to-end NLP projects beginning with traditional algorithms and projects such as customer review sentiment and emotion detection, topic modeling, and document clustering. From there, it delves into e-commerce related projects such as product categorization using the description of the product, a search engine to retrieve the relevant content, and a content-based recommendation system to enhance user experience. Moving forward, it explains how to build systems to find similar sentences using contextual embedding, summarizing huge documents using recurrent neural networks (RNN), automatic word suggestion using long short-term memory networks (LSTM), and how to build a chatbot using transfer learning. It concludes with an exploration of next-generation AI and algorithms in the research space. By the end of this book, you will have the knowledge needed to solve various business problems using NLP techniques. What You Will Learn Implement full-fledged intelligent NLP applications with Python Translate real-world business problem on text data with NLP techniques Leverage machine learning and deep learning techniques to perform smart language processing Gain hands-on experience implementing end-to-end search engine information retrieval, text summarization, chatbots, text generation, document clustering and product classification, and more Who This Book Is For Data scientists, machine learning engineers, and deep learning professionals looking to build natural language applications using Python
Natural Language Processing Workshop
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Author :
language : en
Publisher:
Release Date : 2020
Natural Language Processing Workshop written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Natural Language Processing Crash Course For Beginners
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Author : Ai Publishing
language : en
Publisher:
Release Date : 2020-08-04
Natural Language Processing Crash Course For Beginners written by Ai Publishing and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-04 with categories.
Natural Language Processing Crash Course for Beginners Artificial Intelligence (AI) isn't the latest fad! The reason is AI has been around since 1956, and its relevance is evident in every field today. Artificial Intelligence incorporates human intelligence into machines. Machine Learning (ML), a branch of AI, enables machines to learn by themselves. Deep Learning (DL), a subfield of Machine Learning, uses algorithms that are inspired by the functioning of the human brain. Natural Language Processing (NLP) combines computational linguistics and Artificial Intelligence, enabling computers and humans to communicate seamlessly. And NLP is immensely powerful and impactful as every business is looking to integrate it into their day to day dealings. How Is This Book Different? This book by AI Publishing is carefully crafted, giving equal importance to the theoretical concepts as well as the practical aspects of natural language processing. In each chapter of the second half of the book, the theoretical concepts of different types of deep learning and NLP techniques have been covered in-depth, followed by practical examples. You will learn how to apply different NLP techniques using the TensorFlow and Keras libraries for Python. Each chapter contains exercises that are designed to evaluate your understanding of the concepts covered in that chapter. Also, in the Resources section of each chapter, you can access the Python notebook. The author has also compiled a list of hands-on NLP projects and competitions that you can try on your own. The main benefit of purchasing this book is you get immediate access to all the extra learning material presented with this book--Python codes, exercises, PDFs, and references--on the publisher's website without having to spend an extra cent. You can download the datasets used in this book at runtime, or you can access them in the Resources/Datasets folder. The author holds your hand through everything. He provides you a step by step explanation of the installation of the software needed to implement the various NLP techniques in this book. You can start experimenting with the practical aspects of NLP right from the beginning. Even if you are new to Python, you'll find the ultra-short course on Python programming language in the second chapter immensely helpful. You get all the codes and datasets with this book. So, if you have access to a computer with the internet, you can get started. The topics covered include: What is Natural Language Processing? Environment Setup and Python Crash Course Introduction to Deep Learning Text Cleaning and Manipulation Common NLP Tasks Importing Text Data from Various Sources Word Embeddings: Converting Words to Numbers IMDB Movies Sentimental Analysis Ham and Spam Message Classification Text Summarization and Topic Modeling Text Classification with Deep Learning Text Translation Using Seq2Seq Model State of the Art NLP with BERT Transformers Hands-on NLP Projects/Articles for Practice Exercise Solutions Click the BUY button and download the book now to start your Natural Language Processing journey.
Practical Natural Language Processing Question Answering Using Graphs
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Author : Gil Emanuel Fuchs
language : en
Publisher:
Release Date : 2004
Practical Natural Language Processing Question Answering Using Graphs written by Gil Emanuel Fuchs and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.
Natural Language Processing Technologies In Artificial Intelligence
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Author : Klaus K. Obermeier
language : en
Publisher:
Release Date : 1989
Natural Language Processing Technologies In Artificial Intelligence written by Klaus K. Obermeier and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Computers categories.
Practical Nlp Projects With Hugging Face
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Author : YUAN. ZHU
language : en
Publisher: Independently Published
Release Date : 2025-07-23
Practical Nlp Projects With Hugging Face written by YUAN. ZHU and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-23 with Computers categories.
Elevate your Natural Language Processing (NLP) skills with Practical NLP Projects with Hugging Face: Building Real-World Applications with Hands-On Text Classification, Translation, and Multimodal Projects. Tailored for intermediate learners with a foundational understanding of NLP, this book empowers you to create production-ready applications using Hugging Face's powerful tools. Through step-by-step tutorials, you'll build a diverse portfolio of projects, including text classification (e.g., classifying movie reviews with BERT), sentiment analysis, question-answering systems, machine translation (e.g., English to French with T5), text generation (e.g., creative writing with GPT-2), document summarization (e.g., with BART), and multimodal NLP (e.g., image captioning with CLIP). Explore integrations with computer vision and speech recognition (e.g., transcribing audio with Whisper). Learn to deploy models to production, monitor performance, and maintain them over time. With practical code examples, real-world case studies, and industry-relevant techniques, this book equips you to showcase your expertise through a portfolio of impactful NLP projects ready for real-world deployment. Who This Book Is For: Intermediate learners with basic NLP knowledge eager to build practical, hands-on projects. Developers and data scientists interested in creating production-ready NLP applications. AI enthusiasts and engineers aiming to demonstrate their skills with tangible, portfolio-worthy projects. What You'll Learn: Build and deploy real-world NLP applications, including text classification, named entity recognition, sentiment analysis, question answering, machine translation, text generation, summarization, and multimodal NLP. Integrate NLP with domains like computer vision (e.g., image captioning) and speech recognition (e.g., audio transcription). Master deployment techniques, including hosting models on the Hugging Face Hub and integrating with cloud platforms. Develop monitoring and maintenance strategies to ensure model performance in production. Create a professional portfolio of NLP projects to showcase your expertise to employers and the AI community.
Natural Language Understanding And Logic Programming Ii
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Author : Veronica Dahl
language : en
Publisher: North Holland
Release Date : 1988
Natural Language Understanding And Logic Programming Ii written by Veronica Dahl and has been published by North Holland this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Computers categories.
Natural language semantics and pragmatics are now two major fields in linguistics, philosophy, artificial intelligence and computational linguistics. With the development of large and efficient Prolog interpreters and compilers and with the expansion of the theoretical aspects of logic programming, the study of natural language semantics and related pragmatic aspects is now becoming a very attractive topic. The proceedings of this workshop reflect these trends. The papers cover almost all the current research fields in natural language, including: morphology, syntax, parser design, generation, feature checking and specification, semantic representations and construction of cooperative responses. Articles on syntax deal with constraints to parsing and generation, rule pruning and comparison of logic-based language systems. The material on the compilers involves functional logic grammars and unification-based grammars. The work on semantics investigates logico-semantic induction, data semantics, comparatives, conceptual graphs, discourse representation, and graphs. Papers on pragmatics discuss disambiguation, cooperation with the user through integrity constraints, and question interpretation through epistemic reasoning. Panel discussions are centered around future directions of research as well as comparisons between different points of view about actual research projects.
Natural Language Processing With Transformers
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Author : Cuantum Technologies
language : en
Publisher: Staten House
Release Date : 2025-01-07
Natural Language Processing With Transformers written by Cuantum Technologies and has been published by Staten House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-07 with Computers categories.
This Book grants Free Access to our e-learning Platform, which includes: ✅ Free Repository Code with all code blocks used in this book ✅ Access to Free Chapters of all our library of programming published books ✅ Free premium customer support ✅ Much more... Unlock the Full Potential of Transformers for Natural Language Processing and Beyond Transformers are reshaping the world of AI, powering innovations in natural language processing (NLP) and enabling groundbreaking multimodal applications. Whether you're an aspiring machine learning practitioner or an experienced developer, "Natural Language Processing with Transformers: Advanced Techniques and Multimodal Applications" is your definitive guide to mastering these cutting-edge models. What You'll Learn Dive into advanced NLP techniques: Explore machine translation, text summarization, sentiment analysis, named entity recognition, and more using state-of-the-art transformer architectures. Harness the Hugging Face ecosystem: Gain hands-on experience with tools and libraries that streamline model training, fine-tuning, and deployment. Build real-world solutions: Develop practical applications, including a sentiment analysis API and a custom NER pipeline, with detailed step-by-step instructions and code examples. Expand into multimodal AI: Discover how transformers integrate text, images, and video to power innovative use cases like medical image analysis and video summarization. Why This Book Stands Out Authored with clarity and precision, this book combines theoretical insights with practical guidance. Through hands-on projects, you'll learn to fine-tune models for domain-specific tasks, optimize them for real-world deployment, and explore multimodal AI's potential to revolutionize industries such as healthcare, education, and content creation. Who This Book Is For This book is perfect for: Machine learning enthusiasts looking to deepen their understanding of transformers. Data scientists and engineers seeking practical knowledge to build and deploy real-world applications. Academics and researchers exploring advanced NLP and multimodal techniques. Practical Projects to Solidify Your Learning Put theory into practice with projects that include: Creating a Named Entity Recognition pipeline fine-tuned for custom datasets. Building a scalable sentiment analysis API with FastAPI and Hugging Face models. Developing multimodal applications such as medical image-text integration and video summarization. Your Journey Into the Future of AI Starts Here Transform your skills and become a leader in NLP and multimodal AI. With "Natural Language Processing with Transformers: Advanced Techniques and Multimodal Applications", you'll gain the expertise needed to build impactful AI solutions that leverage the full power of transformer models.
Natural Language Processing In Prolog
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Author : Gerald Gazdar
language : en
Publisher: Addison Wesley Publishing Company
Release Date : 1989
Natural Language Processing In Prolog written by Gerald Gazdar and has been published by Addison Wesley Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Computers categories.
Explains how computers can be programmed to recognize the complex ambiguities of human language. Addresses: current techniques in syntax, semantics, and pragmatics; program listings showing applications in Prolog; and question answering and inference. Targeted at professionals in the artificial inte.
Natural Language Processing In Lisp
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Author : Gerald Gazdar
language : en
Publisher: Addison Wesley Publishing Company
Release Date : 1989
Natural Language Processing In Lisp written by Gerald Gazdar and has been published by Addison Wesley Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Computers categories.