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Text Processing

Overview of attention for book
Cover of 'Text Processing'

Table of Contents

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    Book Overview
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    Chapter 1 PAN@FIRE: Overview of the PR-SOCO Track on Personality Recognition in SOurce COde
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    Chapter 2 Microblog Retrieval During Disasters: Comparative Evaluation of IR Methodologies
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    Chapter 3 Overview of the Mixed Script Information Retrieval (MSIR) at FIRE-2016
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    Chapter 4 From Vector Space Models to Vector Space Models of Semantics
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    Chapter 5 Algorithms and Corpora for Persian Plagiarism Detection
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    Chapter 6 Predicting Type of Obfuscation to Enhance Text Alignment Algorithms
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    Chapter 7 A Fast Multi-level Plagiarism Detection Method Based on Document Embedding Representation
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    Chapter 8 Plagiarism Detection Based on a Novel Trie-Based Approach
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    Chapter 9 Using Local Text Similarity in Pairwise Document Analysis for Monolingual Plagiarism Detection
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    Chapter 10 Shared Task on Detecting Paraphrases in Indian Languages (DPIL): An Overview
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    Chapter 11 Anuj@DPIL-FIRE2016: A Novel Paraphrase Detection Method in Hindi Language Using Machine Learning
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    Chapter 12 Learning to Detect Paraphrases in Indian Languages
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    Chapter 13 Sentence Paraphrase Detection Using Classification Models
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    Chapter 14 Feature Engineering and Characterization of Classifiers for Consumer Health Information Search
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    Chapter 15 Identification of Relevance and Support for Consumer Health Information
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    Chapter 16 Entity Extraction of Hindi-English and Tamil-English Code-Mixed Social Media Text
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Mentioned by

patent
1 patent

Citations

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1 Dimensions

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2 Mendeley
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Title
Text Processing
Published by
Springer International Publishing, February 2018
DOI 10.1007/978-3-319-73606-8
ISBNs
978-3-31-973605-1, 978-3-31-973606-8
Editors

Majumder, Prasenjit, Mitra, Mandar, Mehta, Parth, Sankhavara, Jainisha

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%