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Detecting Texts

Detecting Texts
Author: Patricia Merivale
Publisher: University of Pennsylvania Press
Total Pages: 316
Release: 2011-06-07
Genre: Literary Criticism
ISBN: 0812205456

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Although readers of detective fiction ordinarily expect to learn the mystery's solution at the end, there is another kind of detective story—the history of which encompasses writers as diverse as Poe, Borges, Robbe-Grillet, Auster, and Stephen King—that ends with a question rather than an answer. The detective not only fails to solve the crime, but also confronts insoluble mysteries of interpretation and identity. As the contributors to Detecting Texts contend, such stories belong to a distinct genre, the "metaphysical detective story," in which the detective hero's inability to interpret the mystery inevitably casts doubt on the reader's similar attempt to make sense of the text and the world. Detecting Texts includes an introduction by the editors that defines the metaphysical detective story and traces its history from Poe's classic tales to today's postmodernist experiments. In addition to the editors, contributors include Stephen Bernstein, Joel Black, John T. Irwin, Jeffrey T. Nealon, and others.


Video Text Detection

Video Text Detection
Author: Tong Lu
Publisher: Springer
Total Pages: 272
Release: 2014-07-23
Genre: Computers
ISBN: 1447165152

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This book presents a systematic introduction to the latest developments in video text detection. Opening with a discussion of the underlying theory and a brief history of video text detection, the text proceeds to cover pre-processing and post-processing techniques, character segmentation and recognition, identification of non-English scripts, techniques for multi-modal analysis and performance evaluation. The detection of text from both natural video scenes and artificially inserted captions is examined. Various applications of the technology are also reviewed, from license plate recognition and road navigation assistance, to sports analysis and video advertising systems. Features: explains the fundamental theory in a succinct manner, supplemented with references for further reading; highlights practical techniques to help the reader understand and develop their own video text detection systems and applications; serves as an easy-to-navigate reference, presenting the material in self-contained chapters.


Text and Social Media Analytics for Fake News and Hate Speech Detection

Text and Social Media Analytics for Fake News and Hate Speech Detection
Author: Hemant Kumar Soni
Publisher: CRC Press
Total Pages: 325
Release: 2024-08-21
Genre: Computers
ISBN: 104010049X

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Identifying and stopping the dissemination of fabricated news, hate speech, or deceptive information camouflaged as legitimate news poses a significant technological hurdle. This book presents emergent methodologies and technological approaches of natural language processing through machine learning for counteracting the spread of fake news and hate speech on social media platforms. • Covers various approaches, algorithms, and methodologies for fake news and hate speech detection. • Explains the automatic detection and prevention of fake news and hate speech through paralinguistic clues on social media using artificial intelligence. • Discusses the application of machine learning models to learn linguistic characteristics of hate speech over social media platforms. • Emphasizes the role of multilingual and multimodal processing to detect fake news. • Includes research on different optimization techniques, case studies on the identification, prevention, and social impact of fake news, and GitHub repository links to aid understanding. The text is for professionals and scholars of various disciplines interested in fake news and hate speech detection.


Text Segmentation and Recognition for Enhanced Image Spam Detection

Text Segmentation and Recognition for Enhanced Image Spam Detection
Author: Mallikka Rajalingam
Publisher: Springer Nature
Total Pages: 120
Release: 2020-08-10
Genre: Technology & Engineering
ISBN: 3030530477

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This book discusses email spam detection and its challenges such as text classification and categorization. The book proposes an efficient spam detection technique that is a combination of Character Segmentation and Recognition and Classification (CSRC). The author describes how this can detect whether an email (text and image based) is a spam mail or not. The book presents four solutions: first, to extract the text character from the image by segmentation process which includes a combination of Discrete Wavelet Transform (DWT) and skew detection. Second, text characters are via text recognition and visual feature extraction approach which relies on contour analysis with improved Local Binary Pattern (LBP). Third, extracted text features are classified using improvised K-Nearest Neighbor search (KNN) and Support Vector Machine (SVM). Fourth, the performance of the proposed method is validated by the measure of metric named as sensitivity, specificity, precision, recall, F-measure, accuracy, error rate and correct rate. Presents solutions to email spam detection and discusses its challenges such as text classification and categorization; Analyzes the proposed techniques’ performance using precision, F-measure, recall and accuracy; Evaluates the limitations of the proposed research thereby recommending future research.


An Introduction to Signal Detection and Estimation

An Introduction to Signal Detection and Estimation
Author: H. Vincent Poor
Publisher: Springer Science & Business Media
Total Pages: 558
Release: 2013-06-29
Genre: Technology & Engineering
ISBN: 1475738633

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The purpose of this book is to introduce the reader to the basic theory of signal detection and estimation. It is assumed that the reader has a working knowledge of applied probabil ity and random processes such as that taught in a typical first-semester graduate engineering course on these subjects. This material is covered, for example, in the book by Wong (1983) in this series. More advanced concepts in these areas are introduced where needed, primarily in Chapters VI and VII, where continuous-time problems are treated. This book is adapted from a one-semester, second-tier graduate course taught at the University of Illinois. However, this material can also be used for a shorter or first-tier course by restricting coverage to Chapters I through V, which for the most part can be read with a background of only the basics of applied probability, including random vectors and conditional expectations. Sufficient background for the latter option is given for exam pIe in the book by Thomas (1986), also in this series.


Disinformation in Open Online Media

Disinformation in Open Online Media
Author: Davide Ceolin
Publisher: Springer Nature
Total Pages: 204
Release: 2023-12-15
Genre: Computers
ISBN: 3031478967

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This book constitutes the refereed proceedings of the 5th Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2023, which was held in Amsterdam, The Netherlands, during November 21–22, 2023. The 13 full papers presented in this book were carefully reviewed and selected from 19 submissions. The papers focus on misinformation, disinformation, hate speech, disinformation campaigns, social network analysis, large language models, generative AI, and multi-modal embeddings.


Document Image Processing

Document Image Processing
Author: Ergina Kavallieratou
Publisher: MDPI
Total Pages: 217
Release: 2018-10-03
Genre:
ISBN: 3038971057

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This book is a printed edition of the Special Issue "Document Image Processing" that was published in J. Imaging


Natural Language Processing with Python

Natural Language Processing with Python
Author: Steven Bird
Publisher: "O'Reilly Media, Inc."
Total Pages: 506
Release: 2009-06-12
Genre: Computers
ISBN: 0596555717

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This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.


2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML)

2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML)
Author: IEEE Staff
Publisher:
Total Pages:
Release: 2021-07-16
Genre:
ISBN: 9781665443845

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PRML is an annual conference which aims to present the latest research and results of scholars and experts related to Pattern Recognition and Machine Learning This conference provides opportunities for delegates from different areas to exchange new ideas, applications and experiences face to face, to establish business or research relations, and to find global partners for future collaboration We hope that the conference results in significant contributions to the knowledge base in these scientific fields