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Automatic Summarization

in automatic summarization. This book provides a systematic introduction to the field, explaining basic definitions, the strategies used by human;

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Automatic Text Summarization

perfunctory task, mostly due to a lack of standards. It has thus become extremely difficult to implement automatic text analysis tasks. Automatic Text;

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Multi-Dimensional Summarization in Cyber-Physical Society

Text summarization has been studied for over a half century, but traditional methods process texts empirically and neglect the;

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Text Mining

of text categorization. It then goes into more advanced topics including text summarization, text segmentation, topic mapping, and automatic text;

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The Theory and Practice of Discourse Parsing and Summarization

summarization. Daniel Marcu develops a semantics-free theoretical framework that is both general enough to be applicable to naturally occurring texts;

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Textual Information Access

retrieval; - text classification and clustering; - opinion mining; - comprehension aids (automatic summarization, machine translation;

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Summarization in Any Subject

Summarization. Just when we thought we knew everything about it, the doors to divergent thinking open and summarization-no longer something;

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Multimodal Video Characterization and Summarization

Multimodal Video Characterization and Summarization is a valuable research tool for both professionals and academicians working in the;

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Core Data Analysis: Summarization, Correlation, and Visualization

This text examines the goals of data analysis with respect to enhancing knowledge, and identifies data summarization and correlation;

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Text Analytics with Python

summarization. Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the;

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Fundamental Media Understanding

understanding, text summarization and many other research domains. It turns out that a number of significant parallels do exist. Structuring the methods;

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Natural Language Processing Recipes

, text summarization, sentiment analysis, information retrieval, and many more applications of NLP. The book begins with text data collection;

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Text and Context

dictionaries, lexicons, mood scoring, and summarization of text. This is followed by the analytics of text classification in Section 4. The performance;

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Computational Linguistics

selected from 70 submissions. The papers are organized in topical sections on text summarization; relation and word embedding; machine translation;

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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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Automatic Text Simplification

machines. Automatic text simplification is the process of transforming a text into another text which, ideally conveying the same message, will;

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Text Analytics with Python

models. Improved techniques and new methods around parsing and processing text are discussed as well. Text summarization and topic models have;

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Text Analytics with Python

models. Improved techniques and new methods around parsing and processing text are discussed as well. Text summarization and topic models have;

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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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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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Computational Linguistics and Intelligent Text Processing

: sentiment analysis; opinion mining; author profiling and authorship attribution; social network analysis; machine translation; text summarization;

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Evaluation of Text Summaries Based on Linear Optimization of Content Metrics

optimization, we propose SECO-SEVA as an automatic evaluation metric available for research purposes. Finally, the text finishes with a consideration;

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Flight Stability and Automatic Control (Int'l Ed)

The second edition of Flight Stability and Automatic Control presents an organized introduction to the useful and relevant topics necessary;

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Computational Linguistics and Intelligent Text Processing

; information extraction and text mining; information retrieval and question answering; document summarization; and applications.;

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Ford Automatic Transmission Overhaul Manual

In-depth coverage of popular Ford transmissions for the seroius do-it-yourselfer. Each manual offers easy-to-follow text plus hundreds;

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Computational Linguistics and Intelligent Text Processing

retrieval; text categorization and classification; summarization and recognizing textual entailment; authoring aid, error correction, and style;

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