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Information Management and Big Data

Overview of attention for book
Cover of 'Information Management and Big Data'

Table of Contents

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    Book Overview
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    Chapter 1 Sense-Level Semantic Clustering of Hashtags
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    Chapter 2 Automatic Idiom Recognition with Word Embeddings
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    Chapter 3 A Text Mining-Based Framework for Constructing an RDF-Compliant Biodiversity Knowledge Repository
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    Chapter 4 Network Sampling Based on Centrality Measures for Relational Classification
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    Chapter 5 Dictionary-Based Sentiment Analysis Applied to a Specific Domain
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    Chapter 6 A Clustering Optimization Approach for Disaster Relief Delivery: A Case Study in Lima-Perú
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    Chapter 7 An Approach to Evaluate Class Assignment Semantic Redundancy on Linked Datasets
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    Chapter 8 Topic-Based Sentiment Analysis
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    Chapter 9 A Security Price Data Cleaning Technique: Reynold’s Decomposition Approach
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    Chapter 10 Big Data Architecture for Predicting Churn Risk in Mobile Phone Companies
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    Chapter 11 Social Networks of Teachers in Twitter
Attention for Chapter 1: Sense-Level Semantic Clustering of Hashtags
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Citations

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Summary Dimensions citations
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Chapter title
Sense-Level Semantic Clustering of Hashtags
Chapter number 1
Book title
Information Management and Big Data
Published by
Springer, Cham, September 2015
DOI 10.1007/978-3-319-55209-5_1
Book ISBNs
978-3-31-955208-8, 978-3-31-955209-5
Authors

Ali Javed, Byung Suk Lee

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 43%
Student > Postgraduate 1 14%
Professor 1 14%
Unknown 2 29%
Readers by discipline Count As %
Computer Science 4 57%
Unknown 3 43%

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