Natural language processing for online applications : text retrieval, extraction, and categorization /

Natural language processing for online applications : text retrieval, extraction, and categorization /

Bibliographische Detailangaben
1. Verfasser:	Jackson, Peter, 1948-
Weitere Verfasser:	Moulinier, Isabelle
Format:	Buch
Sprache:	English
Veröffentlicht:	Amsterdam ; Philadelphia, PA : John Benjamins Pub., c2002.
Schriftenreihe:	Natural language processing, v. 5
Schlagworte:	Natural language processing (Computer science)
Classic Catalogue:	View this record in Classic Catalogue

Ähnliche Einträge

Introduction to natural language processing /
von: Eisenstein, Jacob
Veröffentlicht: (2019)

Natural language processing in action : understanding, analyzing, and generating text with Python /
von: Lane, Hobson, et al.
Veröffentlicht: (2019)

Representation learning for natural language processing /
von: Liu, Zhiyuan
Veröffentlicht: (2020)

Natural language processing and computational linguistics : a practical guide to text analysis with python, gensim, spaCy, and keras /
von: Srinivasa-Desikan, Bhargav
Veröffentlicht: (2018)

Natural language processing and information systems : 6th International Conference on Applications of Natural Language to Information Systems, NLDB 2002, Stockholm, Sweden, June 27-28, 2002 : revised papers /
Veröffentlicht: (2002)

Natural language processing with Python /
von: Bird, Steven
Veröffentlicht: (2009)

Python natural language processing cookbook : over 50 recipes to understand, analyze, and generate text for implementing language processing tasks /
von: Antić, Zhenya, author
Veröffentlicht: (2021)

Handbook of natural language processing /
Veröffentlicht: (2010)

Natural language processing with PyTorch : build intelligent language applications using deep learning /
von: Rao, Delip, et al.
Veröffentlicht: (2019)

Quality assessment of extracted information from newspaper comment sections using natural language processing
von: Deb, Arnob, et al.
Veröffentlicht: (2024)

Natural language processing with PyTorch : build intelligent language applications using deep learning /
von: Rao, Delip, et al.
Veröffentlicht: (2019)

Natural language processing with Python and spaCy : a practical introduction /
von: Vasiliev, Yuli
Veröffentlicht: (2020)

The natural language processing workshop : confidently design and build your own NLP projects with this easy-to-understand practical guide /
von: Chopra, Rohan, et al.
Veröffentlicht: (2020)

Natural language processing and knowledge representation : language for knowledge and knowledge for language /
Veröffentlicht: (2000)

Identifying hate speech of Bangla language text using natural language processing
von: Rahman, Mushfiqur, et al.
Veröffentlicht: (2024)

Natural language processing for social media /
von: Farzindar, Anna Atefeh
Veröffentlicht: (2020)

Transfer learning for natural language processing /
von: Azunre, Paul
Veröffentlicht: (2021)

The applied AI and natural language processing workshop : explore practical ways to transform your simple projects into powerful intelligent applications /
von: Sankar, Krishna, et al.
Veröffentlicht: (2020)

Advanced natural language processing with TensorFlow 2 : build effective real-world NLP applications using NER, RNNS, seq2seq models, transformers, and more /
von: Bansal, Ashish
Veröffentlicht: (2021)

Natural language processing with Java cookbook : over 70 recipes to create linguistic and language translation applications using Java libraries /
von: Reese, Richard M., 1953-
Veröffentlicht: (2019)

Vulgar and spam comment identification using Gluon Natural Language Processing and Convolution Neural Networks
von: Jahan, Rufyda
Veröffentlicht: (2019)

Hands-on Python natural language processing : explore tools and techniques to analyze and process text with a view to building real-world NLP applications /
von: Kedia, Aman, et al.
Veröffentlicht: (2020)

Neural network methods for natural language processing /
von: Goldberg, Yoav

Natural language processing crash course for beginners : theory and applications of NLP using TensorFlow and Keras /
Veröffentlicht: (2020)

Deep learning for natural language processing : creating neural networks with Python /
von: Goyal, Palash
Veröffentlicht: (2018)

Statistical significance testing for natural language processing /
Veröffentlicht: (2020)

Getting started with deep learning for natural language processing : learn how to build NLP applications with deep learning /
von: Patel, Sunil
Veröffentlicht: (2021)

Transformers for natural language processing : build innovative deep neural network architectures for NLP with Python, Pytorch, TensorFlow, BERT, RoBERTa, and more /
von: Rothman, Denis
Veröffentlicht: (2021)

A pratical guide to hybrid natural Language processing : combining neural models and knowledge graphs for NLP /
von: Gomez-Perez, Jose Manuel
Veröffentlicht: (2020)

Hands-on natural language processing with PyTorch 1.x : build smart, AI-driven linguistic applications using deep learning and NLP techniques /
von: Dop, Thomas
Veröffentlicht: (2020)

Natural language processing with Spark NLP : learning to understand text at Scale /
von: Thomas, Alex (Data scientist)
Veröffentlicht: (2020)

Practical natural language processing : a comprehensive guide to building real-world NLP systems /
von: Vajjala, Sowmya, et al.
Veröffentlicht: (2020)

Mastering transformers : build SOTA models from scratch with advanced natural language processing techniques /
von: Yildırım, Savas
Veröffentlicht: (2021)

Human sentiment analysis using natural language processing
von: Shamya, Md. Shamiul Haque Khan, et al.
Veröffentlicht: (2024)

A study on the efficacy of natural language generation techniques for similar writing personalities
von: Anwar, Ahmed, et al.
Veröffentlicht: (2024)

Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing
von: Deb, Priom, et al.
Veröffentlicht: (2024)

Towards devising an efficient VQA in the Bengali Language
von: Islam, S M Shahriar, et al.
Veröffentlicht: (2022)

Getting started with Google BERT : build and train state-of-the-art natural language processing models using BERT /
von: Ravichandiran, Sudharsan
Veröffentlicht: (2021)

TikNep: content analysis of Nepali TikTok users using natural language processing
von: Dhakal, Aakar, et al.
Veröffentlicht: (2024)

Analyzing CV/resume using natural language processing and machine learning
von: Reza, Md. Tanzim, et al.
Veröffentlicht: (2018)