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Displaying 1-35 out of 35 total
OpinionSeer: Interactive Visualization of Hotel Customer Feedback
Found in: IEEE Transactions on Visualization and Computer Graphics
By Yingcai Wu, Furu Wei, Shixia Liu, Norman Au, Weiwei Cui, Hong Zhou, Huamin Qu
Issue Date:November 2010
pp. 1109-1118
The rapid development of Web technology has resulted in an increasing number of hotel customers sharing their opinionson the hotel services. Effective visual analysis of online customer opinions is needed, as it has a significant impact on buildinga succes...
 
FacetAtlas: Multifaceted Visualization for Rich Text Corpora
Found in: IEEE Transactions on Visualization and Computer Graphics
By Nan Cao, Jimeng Sun, Yu-Ru Lin, David Gotz, Shixia Liu, Huamin Qu
Issue Date:November 2010
pp. 1172-1181
Documents in rich text corpora usually contain multiple facets of information. For example, an article about a specific disease often consists of different facets such as symptom, treatment, cause, diagnosis, prognosis, and prevention. Thus, documents may ...
 
ViSizer: A Visualization Resizing Framework
Found in: IEEE Transactions on Visualization and Computer Graphics
By Yingcai Wu, Xiaotong Liu, Shixia Liu, Kwan-Liu Ma
Issue Date:February 2013
pp. 278-290
Visualization resizing is useful for many applications where users may use different display devices. General resizing techniques (e.g., uniform scaling) and image-resizing techniques suffer from several drawbacks, as they do not consider the content of th...
 
Visual Analysis of Topic Competition on Social Media
Found in: IEEE Transactions on Visualization and Computer Graphics
By Panpan Xu,Yingcai Wu,Enxun Wei,Tai-Quan Peng,Shixia Liu,Jonathan J.H. Zhu,Huamin Qu
Issue Date:December 2013
pp. 2012-2021
How do various topics compete for public attention when they are spreading on social media? What roles do opinion leaders play in the rise and fall of competitiveness of various topics? In this study, we propose an expanded topic competition model to chara...
 
Whisper: Tracing the Spatiotemporal Process of Information Diffusion in Real Time
Found in: IEEE Transactions on Visualization and Computer Graphics
By Nan Cao, Yu-Ru Lin, Xiaohua Sun,D. Lazer, Shixia Liu, Huamin Qu
Issue Date:December 2012
pp. 2649-2658
When and where is an idea dispersed? Social media, like Twitter, has been increasingly used for exchanging information, opinions and emotions about events that are happening across the world. Here we propose a novel visualization design, “Whisper”, for tra...
 
StoryFlow: Tracking the Evolution of Stories
Found in: IEEE Transactions on Visualization and Computer Graphics
By Shixia Liu,Yingcai Wu,Enxun Wei,Mengchen Liu,Yang Liu
Issue Date:December 2013
pp. 2436-2445
Storyline visualizations, which are useful in many applications, aim to illustrate the dynamic relationships between entities in a story. However, the growing complexity and scalability of stories pose great challenges for existing approaches. In this pape...
 
Let It Flow: A Static Method for Exploring Dynamic Graphs
Found in: 2014 IEEE Pacific Visualization Symposium (PacificVis)
By Weiwei Cui, Xiting Wang, Shixia Liu,Nathalie H. Riche,Tara M. Madhyastha, Kwan Liu Ma, Baining Guo
Issue Date:March 2014
pp. 121-128
Research into social network analysis has shown that graph metrics, such as degree and closeness, are often used to summarize structural changes in a dynamic graph. However there have been few visual analytics approaches that have been proposed to help ana...
 
PIWI: Visually Exploring Graphs Based on Their Community Structure
Found in: IEEE Transactions on Visualization and Computer Graphics
By Jing Yang, Yujie Liu, Xin Zhang, Xiaoru Yuan, Ye Zhao,S. Barlowe, Shixia Liu
Issue Date:June 2013
pp. 1034-1047
Community structure is an important characteristic of many real networks, which shows high concentrations of edges within special groups of vertices and low concentrations between these groups. Community related graph analysis, such as discovering relation...
 
Constrained Text Coclustering with Supervised and Unsupervised Constraints
Found in: IEEE Transactions on Knowledge and Data Engineering
By Yangqiu Song,Shimei Pan,Shixia Liu,Furu Wei,Michelle X. Zhou,Weihong Qian
Issue Date:June 2013
pp. 1227-1239
In this paper, we propose a novel constrained coclustering method to achieve two goals. First, we combine information-theoretic coclustering and constrained clustering to improve clustering performance. Second, we adopt both supervised and unsupervised con...
 
RankExplorer: Visualization of Ranking Changes in Large Time Series Data
Found in: IEEE Transactions on Visualization and Computer Graphics
By Conglei Shi, Weiwei Cui, Shixia Liu, Panpan Xu, Wei Chen, Huamin Qu
Issue Date:December 2012
pp. 2669-2678
For many applications involving time series data, people are often interested in the changes of item values over time as well as their ranking changes. For example, people search many words via search engines like Google and Bing every day. Analysts are in...
 
Tracking and Connecting Topics via Incremental Hierarchical Dirichlet Processes
Found in: Data Mining, IEEE International Conference on
By Zekai J. Gao,Yangqiu Song,Shixia Liu,Haixun Wang,Hao Wei,Yang Chen,Weiwei Cui
Issue Date:December 2011
pp. 1056-1061
Much research has been devoted to topic detection from text, but one major challenge has not been addressed: revealing the rich relationships that exist among the detected topics. Finding such relationships is important since many applications are interest...
 
TextFlow: Towards Better Understanding of Evolving Topics in Text
Found in: IEEE Transactions on Visualization and Computer Graphics
By Weiwei Cui,Shixia Liu,Li Tan,Conglei Shi,Yangqiu Song,Zekai Gao,Huamin Qu,Xin Tong
Issue Date:December 2011
pp. 2412-2421
Understanding how topics evolve in text data is an important and challenging task. Although much work has been devoted to topic analysis, the study of topic evolution has largely been limited to individual topics. In this paper, we introduce TextFlow, a se...
 
HiMap: Adaptive visualization of large-scale online social networks
Found in: Visualization Symposium, IEEE Pacific
By Lei Shi, Nan Cao, Shixia Liu, Weihong Qian, Li Tan, Guodong Wang, Jimeng Sun, Ching-Yung Lin
Issue Date:April 2009
pp. 41-48
Visualizing large-scale online social network is a challenging yet essential task. This paper presents HiMap, a system that visualizes it by clustered graph via hierarchical grouping and summarization. HiMap employs a novel adaptive data loading technique ...
 
Online Detecting and Tracking of the Evolution of User Communities
Found in: International Conference on Natural Computation
By Ya Huang, Shixia Liu, Yi Wang
Issue Date:August 2007
pp. 681-685
Clustering, known as divide a set of static data points into densely distributed groups, has long been a well-known research area. However, many real-life problems require a novel and generalized form of clustering, the evolutionary clustering. Given a dyn...
 
StoryFlow: Tracking the Evolution of Stories
Found in: IEEE Transactions on Visualization and Computer Graphics
By Shixia Liu, Yingcai Wu, Enxun Wei, Mengchen Liu, Yang Liu
Issue Date:December 2013
pp. 2436-2445
Storyline visualizations, which are useful in many applications, aim to illustrate the dynamic relationships between entities in a story. However, the growing complexity and scalability of stories pose great challenges for existing approaches. In this pape...
 
OpinionFlow: Visual Analysis of Opinion Diffusion on Social Media
Found in: IEEE Transactions on Visualization and Computer Graphics
By Yingcai Wu,Shixia Liu,Kai Yan,Mengchen Liu,Fangzhao Wu
Issue Date:February 2015
pp. 1
It is important for many different applications such as government and business intelligence to analyze and explore the diffusion of public opinions on social media. However, the rapid propagation and great diversity of public opinions on social media pose...
 
EvoRiver: Visual Analysis of Topic Coopetition on Social Media
Found in: IEEE Transactions on Visualization and Computer Graphics
By Guodao Sun,Yingcai Wu,Shixia Liu,Tai-Quan Peng,Jonathan J. H. Zhu,Ronghua Liang
Issue Date:February 2015
pp. 1
Cooperation and competition (jointly called “coopetition”) are two modes of interactions among a set of concurrent topics on social media. How do topics cooperate or compete with each other to gain public attention? Which topics tend to cooperate or compet...
 
How Hierarchical Topics Evolve in Large Text Corpora
Found in: IEEE Transactions on Visualization and Computer Graphics
By Weiwei CUI,Shixia Liu,Zhuofeng Wu,Hao Wei
Issue Date:February 2015
pp. 1
Using a sequence of topic trees to organize documents is a popular way to represent hierarchical and evolving topics in text corpora. However, following evolving topics in the context of topic trees remains difficult for users. To address this issue, we pr...
 
LoyalTracker: Visualizing Loyalty Dynamics in Search Engines
Found in: IEEE Transactions on Visualization and Computer Graphics
By Conglei Shi,Yingcai Wu,Shixia Liu,Hong Zhou,Huamin Qu
Issue Date:February 2015
pp. 1
The huge amount of user log data collected by search engine providers creates new opportunities to understand user loyalty and defection behavior at an unprecedented scale. However, this also poses a great challenge to analyze the behavior and glean insigh...
 
Exploring Topical Lead-Lag across Corpora
Found in: IEEE Transactions on Knowledge and Data Engineering
By Shixia Liu,Yang Chen,Hao Wei,Jing Yang,Kun Zhou,Steven M. Drucker
Issue Date:May 2014
pp. 1
Identifying which text corpus leads in the context of a topic presents a great challenge of considerable interest to researchers. Recent research into lead-lag analysis has mainly focused on estimating the overall leads and lags between two corpora. Howeve...
 
Visual Analysis of Topic Competition on Social Media
Found in: IEEE Transactions on Visualization and Computer Graphics
By Panpan Xu, Yingcai Wu, Enxun Wei, Tai-Quan Peng, Shixia Liu,Jonathan J. H. Zhu, Huamin Qu
Issue Date:December 2013
pp. 2012-2021
How do various topics compete for public attention when they are spreading on social media? What roles do opinion leaders play in the rise and fall of competitiveness of various topics? In this study, we propose an expanded topic competition model to chara...
 
ImageHive: Interactive Content-Aware Image Summarization
Found in: IEEE Computer Graphics and Applications
By Li Tan, Yangqiu Song, Shixia Liu, Lexing Xie
Issue Date:January 2012
pp. 46-55
ImageHive communicates information about an image collection by generating a summary image that preserves the relationships between images and avoids occluding their salient parts. It uses a constrained graph-layout algorithm first, to preserve image simil...
 
Real-Time Visualization of Streaming Text with a Force-Based Dynamic System
Found in: IEEE Computer Graphics and Applications
By J. Alsakran, Yang Chen, Dongning Luo, Ye Zhao, Jing Yang, Wenwen Dou, Shixia Liu
Issue Date:January 2012
pp. 34-45
Streamit lets users explore visualizations of text streams without prior knowledge of the data. It incorporates incoming documents from a continuous source into an existing visualization context with automatic grouping and separation based on document simi...
 
Context-Preserving, Dynamic Word Cloud Visualization
Found in: IEEE Computer Graphics and Applications
By Weiwei Cui, Yingcai Wu, Shixia Liu, Furu Wei,Michelle X Zhou, Huamin Qu
Issue Date:November 2010
pp. 42-53
The proposed method uses context-preserving, dynamic word clouds to illustrate content evolution. It generates a sequence of word clouds in which related words are grouped together. This sequence is then coupled with a trend chart that summarizes content c...
 
Lead-lag analysis via sparse co-projection in correlated text streams
Found in: Proceedings of the 22nd ACM international conference on Conference on information & knowledge management (CIKM '13)
By Zhenyu Liu, Fangzhao Wu, Shixia Liu, Yangqiu Song, Yongfeng Huang
Issue Date:October 2013
pp. 2069-2078
Correlated topical trend detection is very useful in analyzing public and social media influence. In this paper, we propose an algorithm that can both detect the correlation and discover the corresponding keywords that trigger the correlation. To detect th...
     
Automatic taxonomy construction from keywords
Found in: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '12)
By Haixun Wang, Shixia Liu, Xueqing Liu, Yangqiu Song
Issue Date:August 2012
pp. 1433-1441
Taxonomies, especially the ones in specific domains, are becoming indispensable to a growing number of applications. State-of-the-art approaches assume there exists a text corpus to accurately characterize the domain of interest, and that a taxonomy can be...
     
TIARA: Interactive, Topic-Based Visual Text Summarization and Analysis
Found in: ACM Transactions on Intelligent Systems and Technology (TIST)
By Shixia Liu, Yangqiu Song, Michelle X. Zhou, Shimei Pan, Weihong Qian, Weijia Cai, Xiaoxiao Lian
Issue Date:February 2012
pp. 1-28
We are building an interactive visual text analysis tool that aids users in analyzing large collections of text. Unlike existing work in visual text analytics, which focuses either on developing sophisticated text analytic techniques or inventing novel tex...
     
Introduction to the Special Section on Intelligent Visual Interfaces for Text Analysis
Found in: ACM Transactions on Intelligent Systems and Technology (TIST)
By Giuseppe Carenini, Huamin Qu, Michelle X. Zhou, Shixia Liu
Issue Date:February 2012
pp. 1-3
Assessing emotional states of users evoked during their multimedia consumption has received a great deal of attention with recent advances in multimedia content distribution technologies and increasing interest in personalized content delivery. Physiologic...
     
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Found in: Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '10)
By Changshui Zhang, Jianwen Zhang, Shixia Liu, Yangqiu Song
Issue Date:July 2010
pp. 1079-1088
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary hierarchical Dirichlet processes (EvoHDP) to discover interesting cluster evol...
     
TIARA: a visual exploratory text analytic system
Found in: Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '10)
By Furu Wei, Lei Shi, Li Tan, Michelle X. Zhou, Qiang Zhang, Shimei Pan, Shixia Liu, Weihong Qian, Yangqiu Song
Issue Date:July 2010
pp. 153-162
In this paper, we present a novel exploratory visual analytic system called TIARA (Text Insight via Automated Responsive Analytics), which combines text analytics and interactive visualization to help users explore and analyze large collections of text. Gi...
     
Visual content correlation analysis
Found in: Proceedings of the first international workshop on Intelligent visual interfaces for text analysis (IVITA '10)
By Furu Wei, Lei Shi, Li Tan, Michelle X. Zhou, Shixia Liu, Xiaohua Sun, Xiaoxiao Lian
Issue Date:February 2010
pp. 25-28
Correlating content from multiple data fields is one of the key challenges in text mining. In this paper, we propose a visual analytics approach that leverages both content correlation analysis and interactive visualization technologies in analyzing and un...
     
Workshop on intelligent visual interfaces for text analysis
Found in: Proceeding of the 14th international conference on Intelligent user interfaces (IUI '10)
By Giuseppe Carenini, Huamin Qu, Michelle X. Zhou, Shixia Liu
Issue Date:February 2010
pp. 439-440
This workshop brought together researchers and practitioners from both text analytics and interactive visualization communities to explore, define, and develop intelligent visual interfaces that help enhance the consumption and quality of complex text anal...
     
Topic and keyword re-ranking for LDA-based topic modeling
Found in: Proceeding of the 18th ACM conference on Information and knowledge management (CIKM '09)
By Michelle X. Zhou, Shimei Pan, Shixia Liu, Weihong Qian, Yangqiu Song
Issue Date:November 2009
pp. 1757-1760
Topic-based text summaries promise to help average users quickly understand a text collection and derive insights. Recent research has shown that the Latent Dirichlet Allocation (LDA) model is one of the most effective approaches to topic analysis. However...
     
Interactive, topic-based visual text summarization and analysis
Found in: Proceeding of the 18th ACM conference on Information and knowledge management (CIKM '09)
By Michelle X. Zhou, Shimei Pan, Shixia Liu, Weihong Qian, Weijia Cai, Xiaoxiao Lian
Issue Date:November 2009
pp. 543-552
We are building an interactive, visual text analysis tool that aids users in analyzing a large collection of text. Unlike existing work in text analysis, which focuses either on developing sophisticated text analytic techniques or inventing novel visualiza...
     
InfoAnalyzer: a computer-aided tool for building enterprise taxonomies
Found in: Proceedings of the Thirteenth ACM conference on Information and knowledge management (CIKM '04)
By Li Zhang, LiPing Yang, ShiXia Liu, Yue Pan
Issue Date:November 2004
pp. 477-483
In this paper we study the problem of collecting training samples for building enterprise taxonomies. We develop a computer-aided tool named InfoAnalyzer, which can effectively assist the enterprise to prepare large set of samples used for machine learning...
     
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