↓ Skip to main content

Multi-disciplinary Trends in Artificial Intelligence

Overview of attention for book
Cover of 'Multi-disciplinary Trends in Artificial Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Inference and Learning in Probabilistic Argumentation
  3. Altmetric Badge
    Chapter 2 Spatial Problem Solving in Spatial Structures
  4. Altmetric Badge
    Chapter 3 Transfer Learning-Based Case Base Preparation for a Case-Based Reasoning-Based Decision Making Support Model in the Educational Domain
  5. Altmetric Badge
    Chapter 4 Multi-level Search of a Knowledgebase for Semantic Parsing
  6. Altmetric Badge
    Chapter 5 Design of a Cloud Brokerage Architecture Using Fuzzy Rough Set Technique
  7. Altmetric Badge
    Chapter 6 Generating Tutorial Interventions for Teaching Situation Awareness in Dental Surgery – Preliminary Report
  8. Altmetric Badge
    Chapter 7 Validation of Machine Learning Classifiers Using Metamorphic Testing and Feature Selection Techniques
  9. Altmetric Badge
    Chapter 8 Packer Identification Using Hidden Markov Model
  10. Altmetric Badge
    Chapter 9 AIC-Driven Spatial Hierarchical Clustering: Case Study for Malaria Prediction in Northern Thailand
  11. Altmetric Badge
    Chapter 10 Multivariate Time Series Clustering Analysis for Human Balance Data
  12. Altmetric Badge
    Chapter 11 Analysis of District-Level Monsoon Rainfall Patterns in India: A Pilot Study
  13. Altmetric Badge
    Chapter 12 Facial Expression Recognition Using a Hybrid CNN–SIFT Aggregator
  14. Altmetric Badge
    Chapter 13 Visual-Only Word Boundary Detection
  15. Altmetric Badge
    Chapter 14 Combination of Domain Knowledge and Deep Learning for Sentiment Analysis
  16. Altmetric Badge
    Chapter 15 Hierarchical Attention Network with XGBoost for Recognizing Insufficiently Supported Argument
  17. Altmetric Badge
    Chapter 16 Speed Invariant Bearing Fault Characterization Using Convolutional Neural Networks
  18. Altmetric Badge
    Chapter 17 Neural Network Control Method for Mobile Robot Trajectory Tracking
  19. Altmetric Badge
    Chapter 18 What Does a Policy Network Learn After Mastering a Pong Game?
  20. Altmetric Badge
    Chapter 19 Minimally-Supervised Sentiment Lexicon Induction Model: A Case Study of Malay Sentiment Analysis
  21. Altmetric Badge
    Chapter 20 Analysis of the Reforming Languages by Image-Based Variations of LBP and NBP Operators
  22. Altmetric Badge
    Chapter 21 Usability Analysis of the Image and Interactive CAPTCHA via Prediction of the Response Time
  23. Altmetric Badge
    Chapter 22 Generating Children’s Stories from Character and Event Models
  24. Altmetric Badge
    Chapter 23 Text Dimensionality Reduction for Document Clustering Using Hybrid Memetic Feature Selection
  25. Altmetric Badge
    Chapter 24 Location-Based Services for Surrounding Area with Myanmar Language on Mobile Devices
  26. Altmetric Badge
    Chapter 25 Processing and Monitoring Algorithm for Solar-Powered Smart Home in DC-Environment System Based on RF-Radio Node
  27. Altmetric Badge
    Chapter 26 GuARD: A Real-Time System for Detecting Aggressive Human Behavior in Cage Environment
  28. Altmetric Badge
    Chapter 27 DREAD-R: Severity Assessment of ONOS SDN Controller
  29. Altmetric Badge
    Chapter 28 Formal Specifications and Analysis of an Agent-Based Model for Cognitive Aspects of Fear of Crime
  30. Altmetric Badge
    Chapter 29 An Anytime Algorithm for Scheduling Tasks for Multiagent Systems
  31. Altmetric Badge
    Chapter 30 Hybrid Model with Margin-Based Real-Time Face Detection and Tracking
  32. Altmetric Badge
    Chapter 31 Smart LED Street Light Systems: A Bruneian Case Study
  33. Altmetric Badge
    Chapter 32 Optimal Route Assessment for Emergency Vehicles Travelling on Complex Road Network
  34. Altmetric Badge
    Chapter 33 Pasang Emas: An AI Implementation of Brunei’s Ancient Traditional Game
  35. Altmetric Badge
    Chapter 34 Swap-Based Discrete Firefly Algorithm for Traveling Salesman Problem
  36. Altmetric Badge
    Chapter 35 An Efficient New Memetic Method for the Traveling Salesman Problem with Time Windows
  37. Altmetric Badge
    Chapter 36 A Novel Approach of Set-Based Particle Swarm Optimization with Memory State
  38. Altmetric Badge
    Chapter 37 A Spy Search Mechanism (SSM) for Memetic Algorithm (MA) in Dynamic Environments
  39. Altmetric Badge
    Chapter 38 Hybrid Simulated Annealing for the Bi-objective Quadratic Assignment Problem
  40. Altmetric Badge
    Chapter 39 Solving the Manufacturing Cell Design Problem Using the Artificial Bee Colony Algorithm
  41. Altmetric Badge
    Chapter 40 Evolving 3D Models Using Interactive Genetic Algorithms and L-Systems
Attention for Chapter 14: Combination of Domain Knowledge and Deep Learning for Sentiment Analysis
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
9 X users
reddit
1 Redditor

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
44 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Combination of Domain Knowledge and Deep Learning for Sentiment Analysis
Chapter number 14
Book title
Multi-disciplinary Trends in Artificial Intelligence
Published in
arXiv, November 2017
DOI 10.1007/978-3-319-69456-6_14
Book ISBNs
978-3-31-969455-9, 978-3-31-969456-6
Authors

Khuong Vo, Dang Pham, Mao Nguyen, Trung Mai, Tho Quan

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Researcher 8 18%
Student > Master 7 16%
Student > Bachelor 4 9%
Student > Postgraduate 3 7%
Other 4 9%
Unknown 9 20%
Readers by discipline Count As %
Computer Science 24 55%
Engineering 4 9%
Environmental Science 1 2%
Linguistics 1 2%
Earth and Planetary Sciences 1 2%
Other 3 7%
Unknown 10 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 February 2019.
All research outputs
#8,020,641
of 24,099,692 outputs
Outputs from arXiv
#178,957
of 1,020,419 outputs
Outputs of similar age
#153,127
of 445,012 outputs
Outputs of similar age from arXiv
#4,185
of 22,288 outputs
Altmetric has tracked 24,099,692 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 81% 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 445,012 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 54% of its contemporaries.
We're also able to compare this research output to 22,288 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.