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Experimental IR Meets Multilinguality, Multimodality, and Interaction

Overview of attention for book
Cover of 'Experimental IR Meets Multilinguality, Multimodality, and Interaction'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 What Happened in CLEF $$\ldots $$ For a While?
  3. Altmetric Badge
    Chapter 2 Crosslingual Depression Detection in Twitter Using Bilingual Word Alignments
  4. Altmetric Badge
    Chapter 3 Studying the Variability of System Setting Effectiveness by Data Analytics and Visualization
  5. Altmetric Badge
    Chapter 4 Stance Detection in Web and Social Media: A Comparative Study
  6. Altmetric Badge
    Chapter 5 TwitCID: A Collection of Data Sets for Studies on Information Diffusion on Social Networks
  7. Altmetric Badge
    Chapter 6 Sonny, Cerca! Evaluating the Impact of Using a Vocal Assistant to Search at School
  8. Altmetric Badge
    Chapter 7 Generating Cross-Domain Text Classification Corpora from Social Media Comments
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    Chapter 8 Efficient Answer-Annotation for Frequent Questions
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    Chapter 9 Improving Ranking for Systematic Reviews Using Query Adaptation
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    Chapter 10 Analyzing the Adequacy of Readability Indicators to a Non-English Language
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    Chapter 11 How Many Labels? Determining the Number of Labels in Multi-Label Text Classification
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    Chapter 12 Using Audio Transformations to Improve Comprehension in Voice Question Answering
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    Chapter 13 A User Modeling Shared Challenge Proposal
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    Chapter 14 How Lexical Gold Standards Have Effects on the Usefulness of Text Analysis Tools for Digital Scholarship
  16. Altmetric Badge
    Chapter 15 Personality Facets Recognition from Text
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    Chapter 16 Unsupervised System Combination for Set-Based Retrieval with Expectation Maximization
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    Chapter 17 An Ensemble Approach to Cross-Domain Authorship Attribution
  19. Altmetric Badge
    Chapter 18 Evaluation of Deep Species Distribution Models Using Environment and Co-occurrences
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    Chapter 19 Interactive Learning-Based Retrieval Technique for Visual Lifelogging
  21. Altmetric Badge
    Chapter 20 An Effective Deep Transfer Learning and Information Fusion Framework for Medical Visual Question Answering
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    Chapter 21 Language Modeling in Temporal Mood Variation Models for Early Risk Detection on the Internet
  23. Altmetric Badge
    Chapter 22 Medical Image Labelling and Semantic Understanding for Clinical Applications
  24. Altmetric Badge
    Chapter 23 To Check or Not to Check: Syntax, Semantics, and Context in the Language of Check-Worthy Claims
  25. Altmetric Badge
    Chapter 24 Overview of CENTRE@CLEF 2019: Sequel in the Systematic Reproducibility Realm
  26. Altmetric Badge
    Chapter 25 Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims
  27. Altmetric Badge
    Chapter 26 Overview of the CLEF eHealth Evaluation Lab 2019
  28. Altmetric Badge
    Chapter 27 Overview of eRisk 2019 Early Risk Prediction on the Internet
  29. Altmetric Badge
    Chapter 28 ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature
  30. Altmetric Badge
    Chapter 29 Overview of LifeCLEF 2019: Identification of Amazonian Plants, South & North American Birds, and Niche Prediction
  31. Altmetric Badge
    Chapter 30 Overview of PAN 2019: Bots and Gender Profiling, Celebrity Profiling, Cross-Domain Authorship Attribution and Style Change Detection
  32. Altmetric Badge
    Chapter 31 Overview of the CLEF 2019 Personalised Information Retrieval Lab (PIR-CLEF 2019)
  33. Altmetric Badge
    Chapter 32 Overview of CLEF 2019 Lab ProtestNews: Extracting Protests from News in a Cross-Context Setting
Attention for Chapter 4: Stance Detection in Web and Social Media: A Comparative Study
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

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Chapter title
Stance Detection in Web and Social Media: A Comparative Study
Chapter number 4
Book title
Experimental IR Meets Multilinguality, Multimodality, and Interaction
Published in
arXiv, September 2019
DOI 10.1007/978-3-030-28577-7_4
Book ISBNs
978-3-03-028576-0, 978-3-03-028577-7
Authors

Shalmoli Ghosh, Prajwal Singhania, Siddharth Singh, Koustav Rudra, Saptarshi Ghosh, Ghosh, Shalmoli, Singhania, Prajwal, Singh, Siddharth, Rudra, Koustav, Ghosh, Saptarshi

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 16%
Student > Bachelor 7 11%
Student > Ph. D. Student 7 11%
Researcher 5 8%
Student > Postgraduate 2 3%
Other 4 6%
Unknown 28 44%
Readers by discipline Count As %
Computer Science 28 44%
Arts and Humanities 1 2%
Linguistics 1 2%
Physics and Astronomy 1 2%
Decision Sciences 1 2%
Other 2 3%
Unknown 29 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 July 2020.
All research outputs
#15,579,612
of 23,155,957 outputs
Outputs from arXiv
#379,387
of 952,809 outputs
Outputs of similar age
#210,539
of 340,917 outputs
Outputs of similar age from arXiv
#12,052
of 28,231 outputs
Altmetric has tracked 23,155,957 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 952,809 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 53% 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 340,917 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28,231 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.