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Advances in Artificial Intelligence - IBERAMIA 2016

Overview of attention for book
Cover of 'Advances in Artificial Intelligence - IBERAMIA 2016'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Towards an Integration of Workflows and Clinical Guidelines: A Case Study
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    Chapter 2 Anomalies Detection in the Behavior of Processes Using the Sensor Validation Theory
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    Chapter 3 Explanatory Relations Revisited: Links with Credibility-Limited Revision
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    Chapter 4 Semantic Enrichment of Web Service Operations
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    Chapter 5 The ICARO Goal Driven Agent Pattern
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    Chapter 6 A Study for Self-adapting Urban Traffic Control
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    Chapter 7 A Constraint-Based Approach for the Conciliation of Clinical Guidelines
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    Chapter 8 Intelligence Amplification Framework for Enhancing Scheduling Processes
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    Chapter 9 A Column Generation Approach for Solving a Green Bi-objective Inventory Routing Problem
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    Chapter 10 Enhancing Semi-supevised Text Classification Using Document Summaries
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    Chapter 11 A Comparison Between Two Spanish Sentiment Lexicons in the Twitter Sentiment Analysis Task
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    Chapter 12 Is This a Joke? Detecting Humor in Spanish Tweets
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    Chapter 13 Evaluating Topic-Based Representations for Author Profiling in Social Media
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    Chapter 14 Using Robustness to Learn to Order Semantic Properties in Referring Expression Generation
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    Chapter 15 Conditional Random Fields for Spanish Named Entity Recognition Using Unsupervised Features
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    Chapter 16 Detection of Fraud Symptoms in the Retail Industry
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    Chapter 17 A Machine Learning Model for Occupancy Rates and Demand Forecasting in the Hospitality Industry
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    Chapter 18 A Machine Learning Model for Triage in Lean Pediatric Emergency Departments
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    Chapter 19 An Empirical Validation of Learning Schemes Using an Automated Genetic Defect Prediction Framework
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    Chapter 20 Machine Learning Approaches to Estimate Simulated Cardiac Ejection Fraction from Electrical Impedance Tomography
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    Chapter 21 Machine Learning Models for Early Dengue Severity Prediction
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    Chapter 22 Early Prediction of Severe Maternal Morbidity Using Machine Learning Techniques
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    Chapter 23 Collaborative Filtering with Semantic Neighbour Discovery
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    Chapter 24 Distributed and Parallel Algorithm for Computing Betweenness Centrality
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    Chapter 25 Principal Curves and Surfaces to Interval Valued Variables
  27. Altmetric Badge
    Chapter 26 In Defense of Online Kmeans for Prototype Generation and Instance Reduction
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    Chapter 27 In Search of Truth: Analysis of Smile Intensity Dynamics to Detect Deception
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    Chapter 28 Sign Languague Recognition Without Frame-Sequencing Constraints: A Proof of Concept on the Argentinian Sign Language
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    Chapter 29 Automatic Generation of Type-1 and Interval Type-2 Membership Functions for Prediction of Time Series Data
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    Chapter 30 Calibration of Microscopic Traffic Flow Simulation Models Using a Memetic Algorithm with Solis and Wets Local Search Chaining (MA-SW-Chains)
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    Chapter 31 A New Strategy Based on Feature Selection for Fault Classification in Transmission Lines
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    Chapter 32 Context Ontologies in Ubiquitous Learning Environments
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    Chapter 33 An Interactive Tool to Support Student Assessment in Programming Assignments
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    Chapter 34 Hidden Markov Models for Artificial Voice Production and Accent Modification
Attention for Chapter 12: Is This a Joke? Detecting Humor in Spanish Tweets
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

12 X users


6 Dimensions

Readers on

23 Mendeley
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Chapter title
Is This a Joke? Detecting Humor in Spanish Tweets
Chapter number 12
Book title
Advances in Artificial Intelligence - IBERAMIA 2016
Published in
Lecture notes in computer science, October 2016
DOI 10.1007/978-3-319-47955-2_12
Book ISBNs
978-3-31-947954-5, 978-3-31-947955-2

Santiago Castro, Matías Cubero, Diego Garat, Guillermo Moncecchi


Manuel Montes y Gómez, Hugo Jair Escalante, Alberto Segura, Juan de Dios Murillo

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Other 3 13%
Student > Master 2 9%
Researcher 2 9%
Student > Bachelor 1 4%
Other 1 4%
Unknown 9 39%
Readers by discipline Count As %
Computer Science 12 52%
Business, Management and Accounting 1 4%
Unknown 10 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 August 2018.
All research outputs
of 22,896,955 outputs
Outputs from Lecture notes in computer science
of 8,129 outputs
Outputs of similar age
of 319,872 outputs
Outputs of similar age from Lecture notes in computer science
of 472 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 79% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 319,872 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 472 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.