N-gram-based Search Procedure

N-gram-based Search Procedure PDF Author: Szymon Woznica
Publisher:
ISBN:
Category : Database searching
Languages : en
Pages : 116

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Book Description

N-gram-based Search Procedure

N-gram-based Search Procedure PDF Author: Szymon Woznica
Publisher:
ISBN:
Category : Database searching
Languages : en
Pages : 116

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Book Description


Authorship Attribution

Authorship Attribution PDF Author: Patrick Juola
Publisher: Now Publishers Inc
ISBN: 160198118X
Category : Authorship, Disputed
Languages : en
Pages : 116

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Book Description
Authorship Attribution surveys the history and present state of the discipline, presenting some comparative results where available. It also provides a theoretical and empirically-tested basis for further work. Many modern techniques are described and evaluated, along with some insights for application for novices and experts alike.

Text Mining with R

Text Mining with R PDF Author: Julia Silge
Publisher: "O'Reilly Media, Inc."
ISBN: 1491981628
Category : Computers
Languages : en
Pages : 193

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Book Description
Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Favorites and Retweets; Summary; Chapter 8. Case Study : Mining NASA Metadata; How Data Is Organized at NASA; Wrangling and Tidying the Data; Some Initial Simple Exploration; Word Co-ocurrences and Correlations; Networks of Description and Title Words; Networks of Keywords; Calculating tf-idf for the Description Fields; What Is tf-idf for the Description Field Words?; Connecting Description Fields to Keywords; Topic Modeling.

Semantic Keyword-Based Search on Structured Data Sources

Semantic Keyword-Based Search on Structured Data Sources PDF Author: Andrea Calì
Publisher: Springer
ISBN: 3319536400
Category : Computers
Languages : en
Pages : 197

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Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the Second COST Action IC1302 International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources, IKC 2016, held in Cluj-Napoca, Romania, in September 2016. The 15 revised full papers and 2 invited papers are reviewed and selected from 18 initial submissions and cover the areas of keyword extraction, natural language searches, graph databases, information retrieval techniques for keyword search and document retrieval.

Artificial Intelligence and Soft Computing

Artificial Intelligence and Soft Computing PDF Author: Leszek Rutkowski
Publisher: Springer
ISBN: 3642293506
Category : Computers
Languages : en
Pages : 753

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Book Description
The two-volume set LNAI 7267 and 7268 (together with LNCS 7269 ) constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012, held in Zakopane, Poland in April/ May 2012. The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The papers are organized in topical sections on neural networks and their applications, computer vision, image and speech analysis, data mining, hardware implementation, bioinformatics, biometrics and medical applications, concurrent parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation, various problems od artificial intelligence.

Markov Models for Pattern Recognition

Markov Models for Pattern Recognition PDF Author: Gernot A. Fink
Publisher: Springer Science & Business Media
ISBN: 1447163087
Category : Computers
Languages : en
Pages : 275

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Book Description
This thoroughly revised and expanded new edition now includes a more detailed treatment of the EM algorithm, a description of an efficient approximate Viterbi-training procedure, a theoretical derivation of the perplexity measure and coverage of multi-pass decoding based on n-best search. Supporting the discussion of the theoretical foundations of Markov modeling, special emphasis is also placed on practical algorithmic solutions. Features: introduces the formal framework for Markov models; covers the robust handling of probability quantities; presents methods for the configuration of hidden Markov models for specific application areas; describes important methods for efficient processing of Markov models, and the adaptation of the models to different tasks; examines algorithms for searching within the complex solution spaces that result from the joint application of Markov chain and hidden Markov models; reviews key applications of Markov models.

Semantic Keyword-based Search on Structured Data Sources

Semantic Keyword-based Search on Structured Data Sources PDF Author: Jorge Cardoso
Publisher: Springer
ISBN: 3319279327
Category : Computers
Languages : en
Pages : 209

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Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the First COST Action IC1302 International KEYSTONE Conference on semantic Keyword-based Search on Structured Data Sources, IKC 2015, held in Coimbra, Portugal, in September 2015. The 13 revised full papers, 3 revised short papers, and 2 invited papers were carefully reviewed and selected from 22 initial submissions. The paper topics cover techniques for keyword search, semantic data management, social Web and social media, information retrieval, benchmarking for search on big data.

Speech & Language Processing

Speech & Language Processing PDF Author: Dan Jurafsky
Publisher: Pearson Education India
ISBN: 9788131716724
Category :
Languages : en
Pages : 912

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Book Description


Markov Models for Handwriting Recognition

Markov Models for Handwriting Recognition PDF Author: Thomas Plötz
Publisher: Springer Science & Business Media
ISBN: 1447121880
Category : Computers
Languages : en
Pages : 82

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Book Description
Since their first inception, automatic reading systems have evolved substantially, yet the recognition of handwriting remains an open research problem due to its substantial variation in appearance. With the introduction of Markovian models to the field, a promising modeling and recognition paradigm was established for automatic handwriting recognition. However, no standard procedures for building Markov model-based recognizers have yet been established. This text provides a comprehensive overview of the application of Markov models in the field of handwriting recognition, covering both hidden Markov models and Markov-chain or n-gram models. First, the text introduces the typical architecture of a Markov model-based handwriting recognition system, and familiarizes the reader with the essential theoretical concepts behind Markovian models. Then, the text reviews proposed solutions in the literature for open problems in applying Markov model-based approaches to automatic handwriting recognition.

Computational Stylistics in Poetry, Prose, and Drama

Computational Stylistics in Poetry, Prose, and Drama PDF Author: Anne-Sophie Bories
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110781565
Category : Literary Criticism
Languages : en
Pages : 235

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Book Description
This volume responds to the current interest in computational and statistical methods to describe and analyse metre, style, and poeticity, particularly insofar as they can open up new research perspectives in literature, linguistics, and literary history. The contributions are representative of the diversity of approaches, methods, and goals of a thriving research community. Although most papers focus on written poetry, including computer-generated poetry, the volume also features analyses of spoken poetry, narrative prose, and drama. The contributions employ a variety of methods and techniques ranging from motif analysis, network analysis, machine learning, and Natural Language Processing. The volume pays particular attention to annotation, one of the most basic practices in computational stylistics. This contribution to the growing, dynamic field of digital literary studies will be useful to both students and scholars looking for an overview of current trends, relevant methods, and possible results, at a crucial moment in the development of novel approaches, when one needs to keep in mind the qualitative, hermeneutical benefit made possible by such quantitative efforts.