Natural language processing for social media /

Natural language processing for social media /

Библиографические подробности
Главный автор:	Farzindar, Anna Atefeh
Другие авторы:	Inkpen, Diana
Формат:	‌
Язык:	English
Опубликовано:	San Rafael : Morgan & Claypool Publishers, c2020.
Предметы:	Natural language processing (Computer science). Social media. Computer science.
Classic Catalogue:	View this record in Classic Catalogue

Схожие документы

Introduction to natural language processing /
по: Eisenstein, Jacob
Опубликовано: (2019)

Natural language processing for online applications : text retrieval, extraction, and categorization /
по: Jackson, Peter, 1948-
Опубликовано: (2002)

Representation learning for natural language processing /
по: Liu, Zhiyuan
Опубликовано: (2020)

Natural language processing with Python /
по: Bird, Steven
Опубликовано: (2009)

Handbook of natural language processing /
Опубликовано: (2010)

The natural language processing workshop : confidently design and build your own NLP projects with this easy-to-understand practical guide /
по: Chopra, Rohan, и др.
Опубликовано: (2020)

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 /
Опубликовано: (2002)

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

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

Natural language processing in action : understanding, analyzing, and generating text with Python /
по: Lane, Hobson, и др.
Опубликовано: (2019)

Natural language processing with PyTorch : build intelligent language applications using deep learning /
по: Rao, Delip, и др.
Опубликовано: (2019)

The applied AI and natural language processing workshop : explore practical ways to transform your simple projects into powerful intelligent applications /
по: Sankar, Krishna, и др.
Опубликовано: (2020)

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

Natural language processing with PyTorch : build intelligent language applications using deep learning /
по: Rao, Delip, и др.
Опубликовано: (2019)

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

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

Transfer learning for natural language processing /
по: Azunre, Paul
Опубликовано: (2021)

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

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

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

Enhanced hate speech detection in social media using transformer-based models
по: Tabasshum, Anika, и др.
Опубликовано: (2024)

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

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

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

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

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

Sentiment analysis using Natural Language Processing (NLP) & deep learning
по: Islam, Kazi Minhazul, и др.
Опубликовано: (2022)

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

Quality assessment of extracted information from newspaper comment sections using natural language processing
по: Deb, Arnob, и др.
Опубликовано: (2024)

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

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

Social media terraforming media landscape
по: Zayed, Abdullah
Опубликовано: (2021)

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

Identifying hate speech of Bangla language text using natural language processing
по: Rahman, Mushfiqur, и др.
Опубликовано: (2024)

Analyzing Schizophrenic-prone text from social media content: a novel approach through ML and NLP
по: Rodela, Raisa Rahman, и др.
Опубликовано: (2024)

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

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

Practical natural language processing : a comprehensive guide to building real-world NLP systems /
по: Vajjala, Sowmya, и др.
Опубликовано: (2020)

Human sentiment analysis using natural language processing
по: Shamya, Md. Shamiul Haque Khan, и др.
Опубликовано: (2024)

Identifying code-mixed and code-switched hateful remarks on social media using NLP
по: Sinha, Sumaiya, и др.
Опубликовано: (2024)