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899
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Chatbot Research and Design : 4th International Workshop, CONVERSATIONS 2020, Virtual Event, November 23–24, 2020, Revised Selected Papers
Stop Words Are Not “Nothing”: German Modal Particles and Public Engagement in Social Media
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Author(s):
Fabian Rüsenberg
,
Andrew J. Hampton
,
Valerie L. Shalin
,
Markus A. Feufel
Publication date
(Online):
June 14 2018
Publisher:
Springer International Publishing
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Gateways: International Journal of Community Research and Engagement
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Opinion Mining and Sentiment Analysis
Bo Pang
,
Lillian Lee
(2008)
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Sentiment strength detection in short informal text
Mike Thelwall
,
Kevan Buckley
,
Georgios Paltoglou
…
(2011)
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Sentiment in Twitter events
Mike Thelwall
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Kevan Buckley
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Georgios Paltoglou
(2011)
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Book Chapter
Publication date (Print):
2018
Publication date (Online):
June 14 2018
Pages
: 89-96
DOI:
10.1007/978-3-319-93372-6_11
SO-VID:
a7dc0ecd-4a12-44f9-b97e-0efee795e5be
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Book chapters
pp. 1
Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder
pp. 3
Should a Chatbot Disclose Itself? Implications for an Online Conversational Retailer
pp. 3
Multi-scale Resolution of Cognitive Architectures: A Paradigm for Simulating Minds and Society
pp. 5
nnU-Net Pre- and Postprocessing Strategies for UW-OCTA Segmentation Tasks in Diabetic Retinopathy Analysis
pp. 14
Dual Sequential Variational Autoencoders for Fraud Detection
pp. 16
Too Informal? How a Chatbot’s Communication Style Affects Brand Attitude and Quality of Interaction
pp. 16
Automated Analysis of Diabetic Retinopathy Using Vessel Segmentation Maps as Inductive Bias
pp. 16
Detecting Betrayers in Online Environments Using Active Indicators
pp. 26
Bag of Tricks for Diabetic Retinopathy Grading of Ultra-Wide Optical Coherence Tomography Angiography Images
pp. 27
A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks
pp. 28
Forecasting Gang Homicides with Multi-level Multi-task Learning
pp. 32
User Perception of Text-Based Chatbot Personality
pp. 31
Deep Convolutional Neural Network for Image Quality Assessment and Diabetic Retinopathy Grading
pp. 38
Feature Selection of Post-graduation Income of College Students in the United States
pp. 40
Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams
pp. 38
Diabetic Retinal Overlap Lesion Segmentation Network
pp. 46
From Language to Location Using Multiple Instance Neural Networks
pp. 54
GraphMDL: Graph Pattern Selection Based on Minimum Description Length
pp. 64
Show, Don’t Tell. Reflections on the Design of Multi-modal Conversational Interfaces
pp. 46
An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images
pp. 54
Detecting Agreement and Disagreement in Political Debates
pp. 67
Towards Content Sensitivity Analysis
pp. 81
36 Questions to Loving a Chatbot: Are People Willing to Self-disclose to a Chatbot?
pp. 59
Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity
pp. 61
Tipping Points for Norm Change in Human Cultures
pp. 80
Gibbs Sampling Subjectively Interesting Tiles
pp. 96
“I’m Here for You”: Can Social Chatbots Truly Support Their Users? A Literature Review
pp. 114
Grätzelbot: Social Companion Technology for Community Building among University Freshmen
pp. 70
Model Co-creation from a Modeler’s Perspective: Lessons Learned from the Collaboration Between Ethnographers and Modelers
pp. 74
Deep-OCTA: Ensemble Deep Learning Approaches for Diabetic Retinopathy Analysis on OCTA Images
pp. 93
Even Faster Exact k-Means Clustering
pp. 106
Ising-Based Consensus Clustering on Specialized Hardware
pp. 76
Multi-Agent Accumulator-Based Decision-Making Model of Incivility (MADI)
pp. 88
Deep Learning-Based Multi-tasking System for Diabetic Retinopathy in UW-OCTA Images
pp. 119
Transfer Learning by Learning Projections from Target to Source
pp. 145
Go to Chapter X to Explore Interactive Narrative on Smart Assistants
pp. 82
Legislative Voting Dynamics in Ukraine
pp. 97
Semi-supervised Semantic Segmentation Methods for UW-OCTA Diabetic Retinopathy Grade Assessment
pp. 118
Image Quality Assessment Based on Multi-model Ensemble Class-Imbalance Repair Algorithm for Diabetic Retinopathy UW-OCTA Images
pp. 132
Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs
pp. 158
Conversational Agents to Promote Children’s Verbal Communication Skills
pp. 89
Stop Words Are Not “Nothing”: German Modal Particles and Public Engagement in Social Media
pp. 127
An Improved U-Net for Diabetic Retinopathy Segmentation
pp. 145
Evaluation of CNN Performance in Semantically Relevant Latent Spaces
pp. 175
More than FAQ! Chatbot Taxonomy for Business-to-Business Customer Services
pp. 97
Beaten Up on Twitter? Exploring Fake News and Satirical Responses During the Black Panther Movie Event
pp. 135
A Vision Transformer Based Deep Learning Architecture for Automatic Diagnosis of Diabetic Retinopathy in Optical Coherence Tomography Angiography
pp. 158
Vouw: Geometric Pattern Mining Using the MDL Principle
pp. 190
Customer Service Chatbots: A Qualitative Interview Study into the Communication Journey of Customers
pp. 111
An Agent-Based Model for False Belief Tasks: Belief Representation Systematic Approach (BRSA)
pp. 146
Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy
pp. 171
A Consensus Approach to Improve NMF Document Clustering
pp. 205
Understanding the User Experience of Customer Service Chatbots: What Can We Learn from Customer Satisfaction Surveys?
pp. 129
Similar but Different: Exploiting Users’ Congruity for Recommendation Systems
pp. 161
Data Augmentation by Fourier Transformation for Class-Imbalance: Application to Medical Image Quality Assessment
pp. 184
Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams
pp. 141
Mining Help Intent on Twitter During Disasters via Transfer Learning with Sparse Coding
pp. 170
Automatic Image Quality Assessment and DR Grading Method Based on Convolutional Neural Network
pp. 197
Widening for MDL-Based Retail Signature Discovery
pp. 154
People2Vec: Learning Latent Representations of Users Using Their Social-Media Activities
pp. 178
A Transfer Learning Based Model Ensemble Method for Image Quality Assessment and Diabetic Retinopathy Grading
pp. 210
Addressing the Resolution Limit and the Field of View Limit in Community Mining
pp. 164
Finding Organizational Accounts Based on Structural and Behavioral Factors on Twitter
pp. 186
Automatic Diabetic Retinopathy Lesion Segmentation in UW-OCTA Images Using Transfer Learning
pp. 223
Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics
pp. 176
A Study of How Opinion Sharing Affects Emergency Evacuation
pp. 201
Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge
pp. 235
Adversarial Attacks Hidden in Plain Sight
pp. 183
Fine-Scale Prediction of People’s Home Location Using Social Media Footprints
pp. 206
Radial Prediction Domain Adaption Classifier for the MIDOG 2022 Challenge
pp. 248
Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code
pp. 190
Formal Organizations, Informal Networks, and Work Flow: An Agent-Based Model
pp. 211
Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge
pp. 261
Overlapping Hierarchical Clustering (OHC)
pp. 217
Tackling Mitosis Domain Generalization in Histopathology Images with Color Normalization
pp. 274
Digital Footprints of International Migration on Twitter
pp. 221
A Deep Learning Based Ensemble Model for Generalized Mitosis Detection in H &E Stained Whole Slide Images
pp. 287
Percolation-Based Detection of Anomalous Subgraphs in Complex Networks
pp. 213
Sentiment Dynamics of The Chronicles of Narnia and Their Ranking
pp. 226
Fine-Grained Hard-Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset
pp. 300
A Late-Fusion Approach to Community Detection in Attributed Networks
pp. 220
Sign Prediction in Signed Social Networks Using Inverse Squared Metric
pp. 234
Multi-task RetinaNet for Mitosis Detection
pp. 313
Reconciling Predictions in the Regression Setting: An Application to Bus Travel Time Prediction
pp. 228
Detecting and Characterizing Bot-Like Behavior on Twitter
pp. 326
A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization
pp. 233
Initializing Agent-Based Models with Clustering Archetypes
pp. 339
Actionable Subgroup Discovery and Urban Farm Optimization
pp. 352
AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model
pp. 253
The Portrayal of Quit Emotions: Content-Sensitive Analysis of Peer Interactions in an Online Community for Smoking Cessation
pp. 366
Detection of Derivative Discontinuities in Observational Data
pp. 263
Digilego: A Standardized Analytics-Driven Consumer-Oriented Connected Health Framework
pp. 379
Improving Prediction with Causal Probabilistic Variables
pp. 274
Pain Town, an Agent-Based Model of Opioid Use Trajectories in a Small Community
pp. 391
DO-U-Net for Segmentation and Counting
pp. 286
Assessing Target Audiences of Digital Public Health Campaigns: A Computational Approach
pp. 404
Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media
pp. 292
Evaluating Semantic Similarity for Adverse Drug Event Narratives
pp. 418
Event Recognition Based on Classification of Generated Image Captions
pp. 303
Framing Shifts of the Ukraine Conflict in pro-Russian News Media
pp. 431
Human-to-AI Coach: Improving Human Inputs to AI Systems
pp. 315
Turning Narrative Descriptions of Individual Behavior into Network Visualization and Analysis: Example of Terrorist Group Dynamics
pp. 444
Aleatoric and Epistemic Uncertainty with Random Forests
pp. 329
Terrorist Network Monitoring with Identifying Code
pp. 457
Master Your Metrics with Calibration
pp. 340
Implicit Terrorist Networks: A Two-Mode Social Network Analysis of Terrorism in India
pp. 470
Supervised Phrase-Boundary Embeddings
pp. 348
Complex Networks for Terrorist Target Prediction
pp. 483
Predicting Remaining Useful Life with Similarity-Based Priors
pp. 357
Searching for Unknown Unknowns: Unsupervised Bot Detection to Defeat an Adaptive Adversary
pp. 496
Orometric Methods in Bounded Metric Data
pp. 367
Using Random String Classification to Filter and Annotate Automated Accounts
pp. 509
Interpretable Neuron Structuring with Graph Spectral Regularization
pp. 377
Understanding Cyber Attack Behaviors with Sentiment Information on Social Media
pp. 522
Comparing the Preservation of Network Properties by Graph Embeddings
pp. 389
Social Cyber-Security
pp. 535
Making Learners (More) Monotone
pp. 395
A Computational Model of Cyber Situational Awareness
pp. 401
Assessment of Group Dynamics During Cyber Crime Through Temporal Network Topology
pp. 561
LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification
pp. 574
Angle-Based Crowding Degree Estimation for Many-Objective Optimization
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