Social Media Processing

Name: Social Media Processing | 4th National Conference, SMP 2015, Guangzhou, China, November 16-17, 2015, Proceedings
Brand: Springer
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4th National Conference, SMP 2015, Guangzhou, China, November 16-17, 2015, Proceedings

Xichun Zhang Maosong Sun Zhenyu Wang Xuanjing Huang(Herausgeber*in)

Springer (Verlag)

Erschienen am 26. November 2015

XIV, 242 Seiten

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Beschreibung

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Inhalt

Intro
Preface
Organization
Contents
Personalized Microtopic Recommendation with Rich Information
1 Introduction
2 Microtopic Recommendation Model
2.1 Modeling User-Microtopic Adoptions
2.2 Modeling User and Microtopic Content
2.3 Modeling User and Microtopic Attributes
2.4 Complete Model and Model Inference
3 Experiments
3.1 Data Set
3.2 Experimental Settings
3.3 Collaborative Filtering with Rich Content
3.4 Integrating Attributes
4 Related Work
5 Conclusions
References
PRISM: Profession Identification in Social Media with Personal Information and Community Structure
1 Introduction
2 The Framework of PRISM
2.1 Profession Identification with Personal Information
2.2 Profession Refinement with Community Structure
3 Experiments and Analysis
3.1 Experimental Results on Profession Identification
4 Related Work
5 Conclusion
References
A Gaussian Copula Regression Model for Movie Box-office Revenue Prediction with Social Media
1 Introduction
2 Related Work
3 Copula Regression for Prediction
3.1 A Brief Introduction to Copula
3.2 Kernel Density Estimation
3.3 Copula Parameter Estimation
3.4 Inference
4 Experiments
4.1 Feature Sets
4.2 Baselines
4.3 Evaluation Metrics
4.4 Comparison to the Baselines
4.5 Varing the Amount of Training Data
4.6 Feature Combinations
5 Discussion
6 Conclusion
References
Personalized Hashtag Suggestion for Microblogs
1 Introduction
2 Related Works
3 Method
3.1 Preliminaries
3.2 Model Formulation
3.3 Learning and Inference
3.4 Personalized Hashtag Recommendation
4 Experiments and Results
4.1 Datasets
4.2 Evaluation Criteria and Experimental Setup
4.3 Methods for Comparison
4.4 Experiment Results
5 Conclusions
References
Hybrid Model Based Influenza Detection with Sentiment Analysis from Social Networks
1 Introduction
2 Em-Flu Model
3 Data Preparation
4 Experiments and Data Analysis
5 Conclusion
References
Do Photos Help Express Our Feelings: Incorporating Multimodal Features into Microblog Sentiment Analysis
1 Introduction
2 Related Work
3 Text Feature Extraction
4 Image Feature Extraction
4.1 Filtering and Clipping
4.2 Extracting Features
5 Experiments
5.1 Experiment Setups
5.2 Pre-experiment on Images
5.3 Subjectivity Sentiment Classification
5.4 Result Analysis
6 Conclusion
References
Nugget-Based First Story Detection in Twitter Stream
1 Introduction
2 Related Work
3 Nugget-Based First Story Detection
3.1 Task Definition
3.2 Nugget-Based FSD
3.3 Nugget Generation and Update
4 Experiments
4.1 Dataset and Evaluation
4.2 Results and Analysis
4.3 Time Analysis
5 Conclusion
References
Dirichlet Process Mixture Model for Summarizing the Social Web
1 Introduction
2 Related Work
3 Model
3.1 Chinese Restaurant Process Model
3.2 Algorithm
3.3 Application
4 Experiment
4.1 Tag-Driven Summarization
4.2 Comparative Summarization
4.3 Update Summarization
5 Conclusion
References
Approaches to Detect Micro-Blog User Interest Communities Through the Integration of Explicit User Relationship and Implicit Topic Relations
1 Introduction
2 Explicit User Relationship
2.1 Construct the User Follow Relationship Network
2.2 Construct the User Tag-Based Interest Relationship Network
3 Implicit Topic Relations
3.1 Construct the Topic-Based Interest Relationship Network
4 Approaches to Detect Micro-Blog User Interest Communities Through the Integration of Explicit User Relationship and Implicit Topic Relations
4.1 Network Convergence
4.2 Approaches to Detect Micro-Blog User Interest Communities
5 Experiments
5.1 Experimental Data Set
5.2 Evaluation Index for Community Division
5.3 Experimental Settings and Result Analysis
6 Conclusions
References
Supervised Link Prediction Using Random Walks
1 Introduction
2 Related Work
3 Supervised Random Walk with Restart
3.1 Generalized Bi-Relational Network
3.2 Our Method
3.3 More Alternative Features
4 Experiment
4.1 Data Set
4.2 Experiment Setting and Result
5 Conclusions
References
FCL: A New Network Words Extraction Approach Based on Statistical Language Knowledge
1 Introduction
2 Related Work
3 Our Approach
3.1 The Overview of Our Approach
3.2 A Filtering Algorithm Through the News Corpus
3.3 Measuring Word Features
3.4 A Ranking Method for New Network Words Extraction
4 Experiments and Discussions
4.1 Experiment Setup
4.2 Our Method vs. Different Baselines
4.3 Evaluation of Different Statistical Language Knowledge
4.4 Parameter Tuning
4.5 Application of New Network Words to Word Segmentation
5 Conclusion and Future Work
References
Systematic Comparison of Question Target Classification Taxonomies Towards Question Answering
Abstract
1 Introduction
2 The Definition of Question Target Classification
3 Question Target Classification Taxonomy
4 Comparison and Analysis
5 Summary
References
Combining Convolutional Neural Network and Support Vector Machine for Sentiment Classification
1 Introduction
2 Related Work
2.1 Sentiment Analysis
2.2 Deep Neural Networks
3 Our Approach
3.1 Word Embedding Construction
3.2 CNN-Based Sentence Distributed Feature Representation
3.3 CNN-based SVMs Classifier
4 Evaluation and Discussion
4.1 Experiment Settings
4.2 Experimental Results and Analysis
5 Conclusion
References
A Novel Cross Modal Hashing Algorithm Based on Multi-modal Deep Learning
1 Introduction
2 Related Work
2.1 Cross Modal Hashing
2.2 Multi-modal Deep Learning
3 The Multi-modal Deep Learning Based Hashing Algorithm Methodology
3.1 Notations and Problem Definition
3.2 Multi-modal Deep Learning
3.3 Hashing Function Learning
4 Experiments
4.1 Data Sets and Settings
4.2 Evaluation Metric
4.3 Compared Methods
4.4 Results
5 Conclusion
References
Predicting Who Will Retweet or Not in Microblogs Network
1 Introduction
2 Features
2.1 Followee and Follower Features
2.2 Tweet Features
2.3 Interaction Features
3 Experiments
3.1 Data Set
3.2 Preprocessing
3.3 Predictive Models with All Features
3.4 Features Rank
3.5 Predictive Models Combining Top 12 Features
4 Conclusions
References
Predicting User Relationship from Scratch
1 Introduction
2 Related Work
3 Data Description
4 Predicting User-Relation
4.1 Node Features
4.2 Method
5 Experimental Results
6 Conclusion
References
Detecting Overlapping and Hierarchical Communities in Complex Network Based on Maximal Cliques
Abstract
1 Introduction
2 Related Works
3 Motivation
3.1 Maximal Cliques
3.2 Extended Modularity
3.3 Merge
3.4 Algorithm Description
4 Experiments and Results
4.1 Bottlenose Dolphins Network
4.2 Karate Club Network
4.3 Email Network
5 Conclusion
References
The Expert Ranking Method Based on Listwise with Associated Features
Abstract
1 Introduction
2 The Expert Ranking Method Based on List with Associated Features
2.1 The Correlation Model Based on Evidence Document
2.2 The Correlation Model Based on Expert Relationship Network
2.3 The Correlation Model Based on Expert Metadata
2.4 The Expert-ListNet Algorithm
3 The Experiment and Result Analysis
3.1 The Experimental Data Preparation
3.2 The Influence of Different Correlation Characteristics to Expert Sort
3.3 The Experimental Comparison of Different Methods of Expert Ranking Methods
4 Conclusion
References
Generating Triples Based on Dependency Parsing for Contradiction Detection
1 Introduction
2 Joint Method for Dp-Triple Extraction
2.1 Dp-Triple Extraction Method
2.2 Triple Alignment
2.3 Context of Matching Word Collection
3 Features for Contradiction Detection
4 Experiment and Analysis
4.1 Data Sets
4.2 Results and Analysis
5 Related Work
6 Conclusion
References
Improving Conversational Spoken Language Machine Translation via Pronoun Recovery
1 Introduction
2 Pronouns Recovery
2.1 Pronoun Tagging Based on Conditional Random Fields
2.2 Pronouns Recovery with Filtering
3 Experiments
3.1 Experimental Setup
3.2 Result and Discussion
4 Conclusions and Future Work
References
Analyzing the Segmentation Granularity of RTB Advertising Markets: A Computational Experiment Approach
1 Introduction
2 The Model
2.1 Problem Statement
2.2 The Model
3 The Experiments
3.1 The Computational Experiments Scenario
3.2 The Experimental Results
3.3 Analysis of the Experimental Results
4 Managerial Insights
5 Conclusions and Future Work
References
Combining Feature-Based and Instance-Based Transfer Learning Approaches for Cross-Domain Hedge Detection with Multiple Sources
Abstract
1 Introduction
2 Related Work
3 Cross-Domain Hedge Detection
3.1 Hedge Cue Detection
3.2 Transfer Learning with Multiple Sources
4 Experiments
4.1 Performance Based on Transfer Learning with One Source
4.2 Performance Based on Transfer Learning with Multiple Sources
5 Conclusion
Acknowledgements
References
A Music Recommendation Algorithm Based on Hybrid Collaborative Filtering Technique
Abstract
1 Introduction
2 Related Work
3 Fuse the Collaborative Filtering Algorithm
3.1 Algorithm Overview
3.2 Algorithm Design
3.3 Weight Penalty on the Importance of Time and Item
4 The Experiment
4.1 The Experimental Data
4.2 Results
5 Conclusion
References
Author Index

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