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Natural Language Processing and Text Mining

Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text;

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Graph-based Natural Language Processing and Information Retrieval

natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining;

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Natural Language Understanding and Intelligent Applications

This book constitutes the joint refereed proceedings of the 5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC;

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Natural Language Processing and Information Systems

mining and sentiment analysis; question answering systems and applications; semantics-based models and applications; and text summarization.;

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The Text Mining Handbook

Text mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining;

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Text Mining

framework of text mining and use text mining for various tasks in natural language processing (NLP). The analysis of large amounts of textual data;

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Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

; semantics; text mining, open-domain information extraction and machine reading of the Web; sentiment analysis, opinion mining and text;

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The Oxford Handbook of Computational Linguistics

-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language;

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Natural Language Processing Recipes

modeling, text summarization, text generation, entity extraction, and sentiment analysis. Natural Language Processing Recipes starts by offering;

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Information Management and Big Data

122 submissions. The papers address topics such as natural language processing and text mining; machine learning; image processing; social;

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Machine Learning for Text

summarization, information extraction, knowledge graphs, question answering, opinion mining, text segmentation, and event detection. Compared to the;

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Handbook of Natural Language Processing

The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language;

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Natural Language Processing and Chinese Computing

Media and Network; Text Mining; and Trending Topics.;

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Natural Language Processing and Chinese Computing

Media and Network; Text Mining; and Trending Topics.;

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Statistical Language and Speech Processing

, plagiarism and spam filtering; computer-aided translation; corpora and language resources; data mining and semantic Web; information extraction;

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

organized in topical sections named: Data Mining: Natural Language Processing and Text Mining; Image Analysis and Retrieval; Machine Learning and;

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Speech and Computer

, affective computing, speech and language resources, speech translation systems, text mining and sentiment analysis, voice assistants, etc. Due to;

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Natural Language Processing and Chinese Computing

This two-volume set of LNAI 11838 and LNAI 11839 constitutes the refereed proceedings of the 8th CCF Conference on Natural Language;

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Natural Language Processing and Chinese Computing

This two-volume set of LNAI 11838 and LNAI 11839 constitutes the refereed proceedings of the 8th CCF Conference on Natural Language;

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Computational Linguistics and Intelligent Text Processing

analysis, opinion mining, and emotions; natural language generation; machine translation and multilingualism; text categorization and clustering;

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Mining Intelligence and Knowledge Exploration

This book constitutes the proceedings of the Second International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2014;

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Human-Machine Interaction in Translation

interface design, conceptualisation, representation, meaning construction, ontology building, and text mining.;

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Mining Intelligence and Knowledge Exploration

This book constitutes the refereed proceedings of the 4th International Conference on Mining Intelligence and Knowledge Exploration, MIKE;

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Natural Language Processing and Chinese Computing

organized as follows: NLP for social network; NLP fundamentals; text mining; and short papers.;

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Advanced Data Mining and Applications

analysis; spatio-temporal data; natural language processing and text mining; data mining applications; applications; and demos.;

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Human Inspired Computing and its Applications

contains 44 papers structured into seven sections: natural language processing, natural language processing applications, opinion mining, sentiment;

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Computational Linguistics and Intelligent Text Processing

analysis and emotion detection; opinion mining and social network analysis; natural language generation and text summarization; information;

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