Cargando…

Natural language processing and computational linguistics: a practical guide to text analysis with Python, Gensim, spaCy, and Keras

Detalles Bibliográficos
Autor principal:	Srinivasa-Desikan, Bhargav
Lenguaje:	eng
Publicado:	Packt Publishing 2018
Materias:	Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2634449

Ejemplares similares

Natural Language Processing with Python and spaCy
por: Vasiliev, Yuli
Publicado: (2020)

Data driven identification of international cutting edge science and technologies using SpaCy
por: Hu, Chunqi, et al.
Publicado: (2022)

Text analytics with Python: a practitioner's guide to natural language processing
por: Sarkar, Dipanjan
Publicado: (2019)

Improving spaCy dependency annotation and PoS tagging web service using independent NER services
por: Colic, Nico, et al.
Publicado: (2019)

Reinforcement learning: with open AI, TensorFlow and Keras using Python
por: Nandy, Abhishek, et al.
Publicado: (2017)

Reinforcement learning: with Open AI, TensorFlow and Keras using Python
por: Nandy, Abhishek, et al.
Publicado: (2018)

Applied reinforcement learning with Python: with OpenAI Gym, TensorFlow, and Keras
por: Beysolow, Taweh
Publicado: (2019)

Enhanced geocoding precision for location inference of tweet text using spaCy, Nominatim and Google Maps. A comparative analysis of the influence of data selection
por: Serere, Helen Ngonidzashe, et al.
Publicado: (2023)

Keras deep learning cookbook: over 30 recipes for implementing deep neural networks in Python
por: Dua, Rajdeep, et al.
Publicado: (2018)

Learn Keras for deep neural networks: a fast-track approach to modern deep learning with Python
por: Moolayil, Jojo
Publicado: (2019)

Deep learning with applications using Python: chatbots and face, object, and speech recognition with TensorFlow and Keras
por: Manaswi, Navin Kumar, et al.
Publicado: (2018)

Hands-on Q-learning with Python: practical Q-learning with OpenAI Gym, Keras, and TensorFlow
por: Habib, Nazia
Publicado: (2019)

Learn Keras for deep neural networks: a fast-track approach to modern deep learning with Python
por: Moolayil, Jojo
Publicado: (2018)

Deep learning with Keras: implement neural networks with Keras on Theano and TensorFlow
por: Gulli, Antonio
Publicado: (2017)

Natural language processing with Python quick start guide: going from a Python developer to an effective natural language processing engineer
por: Kasliwal, Nirant
Publicado: (2018)

Applied deep learning with Keras: solve complex real-life problems with the simplicity of Keras
por: Bhagwat, Ritesh, et al.
Publicado: (2019)

Python 2.6 Text Processing: Beginners Guide
por: McNeil, Jeff
Publicado: (2010)

Natural language processing with Python
por: Bird, Steven, et al.
Publicado: (2009)

Python deep learning: exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow
por: Vasilev, Ivan
Publicado: (2019)

Hands-on transfer learning with Python: implement advanced deep learning and neural network models using TensorFlow and Keras
por: Sarkar, Dipanjan, et al.
Publicado: (2018)

Text Processing in Python
por: Mertz, David
Publicado: (2003)

Hands-on deep learning architectures with Python: create deep neural networks to solve computational problems using TensorFlow and Keras
por: Liu, Yuxi (Hayden), et al.
Publicado: (2019)

Applied deep learning with Python: use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
por: Galea, Alex, et al.
Publicado: (2018)

Natural language processing recipes: unlocking text data with machine learning and deep learning using Python
por: Kulkarni, Akshay, et al.
Publicado: (2019)

Intelligent projects using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras
por: Pattanayak, Santanu
Publicado: (2019)

Applied text analysis with Python: enabling language-aware data products with machine learning
por: Bengfort, Benjamin, et al.
Publicado: (2018)

spaCI: deciphering spatial cellular communications through adaptive graph model
por: Tang, Ziyang, et al.
Publicado: (2022)

Python algorithms: mastering basic algorithms in the Python language
por: Hetland, Magnus Lie
Publicado: (2014)

Python algorithms: mastering basic algorithms in the Python language
por: Hetland, Magnus Lie
Publicado: (2010)

Make your own Python text adventure: a guide to learning programming
por: Johnson, Phillip
Publicado: (2017)

Introduction to linguistic annotation and text analytics
por: Wilcock, Graham
Publicado: (2009)

Programming in Python 3: a complete introduction to the Python language
por: Summerfield, Mark
Publicado: (2010)

Programming in Python 3: a complete introduction to the Python language
por: Summerfield, Mark
Publicado: (2009)

Natural language processing with Python cookbook: over 60 recipes to implement text analysis solutions using deep learning principles
por: Bhavsar, Krishna, et al.
Publicado: (2017)

Learn Python programming: a beginner's guide to learning the fundamentals of Python language to write efficient, high quality code
por: Romano, Fabrizio
Publicado: (2018)

Beginning application development with TensorFlow and Keras: learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications
por: Capelo, Luis
Publicado: (2018)

Hands-on generative adversarial networks with Keras: your guide to implementing next-generation generative adversarial networks
por: Valle, Rafael
Publicado: (2019)

Head First Programming: A learner's guide to programming using the Python language
por: Griffiths, David, et al.
Publicado: (2009)

The Python apprentice: a practical and thorough introduction to the Python programming language
por: Smallshire, Robert, et al.
Publicado: (2017)

Neural networks with Keras cookbook: over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots
por: Ayyadevara, V Kishore
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_qku2lnkbc200op51l6e51697iu