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Articles 1291 - 1320 of 1692
Full-Text Articles in Entire DC Network
Who Am I Faced With?: The Influence Of Gender-Professional Identity Integration (G-Pii) And Sex Of Opposing Negotiator On Female Businesspersons’ Negotiations, Yi Wen Tan
Dissertations and Theses Collection (Open Access)
Previous research examining sex differences in negotiation revealed conflicting evidence for its presence. This could be due to the lack of consideration of having a business identity on top of having a gender identity. This suggests the importance of examining how female businesspersons integrate their female and business identities using the construct of gender-professional identity integration (G-PII). The purpose of Study 1 was to develop a measure for G-PII by adapting and validating from existing items from past bicultural identity integration research. A 15-item measure with two factors (distance and conflict) emerged. Study 2 investigated how the sex of the …
Positive Affect Facilitates Task Switching In The Dimension Change Card Sort Task: Implications For The Shifting Aspect Of Executive Functions, Hwajin Yang, Sujin Yang
Positive Affect Facilitates Task Switching In The Dimension Change Card Sort Task: Implications For The Shifting Aspect Of Executive Functions, Hwajin Yang, Sujin Yang
Research Collection School of Social Sciences
Using the modified Dimensional Change Card Sort task, we examined the influence of positive affect on task switching by inspecting various markers for the costs, including restart cost, switch cost and mixing cost. Given that the executive-control processes that underlie switching performance—i.e., inhibition or shifting—are distinct from the component processes that underlie non-switching performance—i.e., stimulus evaluation, resource allocation or response execution—we hypothesised that if positive affect facilitates task switching via executive-control processes, rather than via component processes, positive affect would reduce both switch and restart costs, but not mixing cost, because both switch and restart costs rely on executive processes, …
Build Emotion Lexicon From Microblogs By Combining Effects Of Seed Words And Emoticons In A Heterogeneous Graph, Kaisong Song, Shi Feng, Wei Gao, Daling Wang, Ling Chen, Chengqi Zhang
Build Emotion Lexicon From Microblogs By Combining Effects Of Seed Words And Emoticons In A Heterogeneous Graph, Kaisong Song, Shi Feng, Wei Gao, Daling Wang, Ling Chen, Chengqi Zhang
Research Collection School Of Computing and Information Systems
As an indispensable resource for emotion analysis, emotion lexicons have attracted increasing attention in recent years. Most existing methods focus on capturing the single emotional effect of words rather than the emotion distributions which are helpful to model multiple complex emotions in a subjective text. Meanwhile, automatic lexicon building methods are overly dependent on seed words but neglect the effect of emoticons which are natural graphical labels of fine-grained emotion. In this paper, we propose a novel emotion lexicon building framework that leverages both seed words and emoticons simultaneously to capture emotion distributions of candidate words more accurately. Our method …
Online Probabilistic Learning For Fuzzy Inference System, Richard Jayadi Oentaryo, Meng Joo Er, San Linn, Xiang Li
Online Probabilistic Learning For Fuzzy Inference System, Richard Jayadi Oentaryo, Meng Joo Er, San Linn, Xiang Li
Research Collection School Of Computing and Information Systems
Online learning is a key methodology for expert systems to gracefully cope with dynamic environments. In the context of neuro-fuzzy systems, research efforts have been directed toward developing online learning methods that can update both system structure and parameters on the fly. However, the current online learning approaches often rely on heuristic methods that lack a formal statistical basis and exhibit limited scalability in the face of large data stream. In light of these issues, we develop a new Sequential Probabilistic Learning for Adaptive Fuzzy Inference System (SPLAFIS) that synergizes the Bayesian Adaptive Resonance Theory (BART) and Rule-Wise Decoupled Extended …
Automatic Early Defects Detection In Use Case Documents, Shuang Liu, Jun Sun, Yang Liu, Yue Zhang, Bimlesh Wadhwa, Jin Song Dong, Xinyu Wang
Automatic Early Defects Detection In Use Case Documents, Shuang Liu, Jun Sun, Yang Liu, Yue Zhang, Bimlesh Wadhwa, Jin Song Dong, Xinyu Wang
Research Collection School Of Computing and Information Systems
Use cases, as the primary techniques in the user requirement analysis, have been widely adopted in the requirement engineering practice. As developed early, use cases also serve as the basis for function requirement development, system design and testing. Errors in the use cases could potentially lead to problems in the system design or implementation. It is thus highly desirable to detect errors in use cases. Automatically analyzing use case documents is challenging primarily because they are written in natural languages. In this work, we aim to achieve automatic defect detection in use case documents by leveraging on advanced parsing techniques. …
A Study Of Age Gaps Between Online Friends, Lizi Liao, Jing Jiang, Ee Peng Lim, Heyan Huang
A Study Of Age Gaps Between Online Friends, Lizi Liao, Jing Jiang, Ee Peng Lim, Heyan Huang
Research Collection School Of Computing and Information Systems
User attribute extraction on social media has gain considerable attention, while existing methods are mostly supervised which suffer great diffi- culty in insufficient gold standard data. In this paper, we validate a strong hypothesis based on homophily and adapt it to ensure the certainty of user attribute we extracted via weakly supervised propagation. Homophily, the theory which states that people who are similar tend to become friends, has been well studied in the setting of online social networks. When we focus on age attribute, based on this theory, online friends tend to have similar age. In this work, we take …
Opinion Mining Of Sociopolitical Comments From Social Media, Swapna Gottipati
Opinion Mining Of Sociopolitical Comments From Social Media, Swapna Gottipati
Dissertations and Theses Collection (Open Access)
Opinions are central to almost all human activities by influencing greatly the decision making process. In this thesis, we present the problems of mining issues, extracting entities and suggestive opinions towards the entities, detecting thoughtful comments, and extracting stances and ideological expressions from online comments in the sociopolitical domain. This study is essential for opinion mining applications that are beneficial for policy makers, government sectors and social organizations. Much work has been done to try to uncover consumer sentiments from online comments to help businesses improve their products and services. However, sociopolitical opinion mining poses new challenges due to complex …
Video Event Detection Using Motion Relativity And Feature Selection, Feng Wang, Zhanhu Sun, Yu-Gang Jiang, Chong-Wah Ngo
Video Event Detection Using Motion Relativity And Feature Selection, Feng Wang, Zhanhu Sun, Yu-Gang Jiang, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
Event detection plays an essential role in video content analysis. In this paper, we present our approach based on motion relativity and feature selection for video event detection. First, we propose a new motion feature, namely Expanded Relative Motion Histogram of Bag-of-Visual-Words (ERMH-BoW) to employ motion relativity for event detection. In ERMH-BoW, by representing what aspect of an event with Bag-of-Visual-Words (BoW), we construct relative motion histograms between different visual words to depict the objects' activities or how aspect of the event. ERMH-BoW thus integrates both what and how aspects for a complete event description. Meanwhile, we show that by …
Social Tipping Points And Earth Systems Dynamics, R.A. Bentley, E. Maddison, P. Ranner, J. Bissell, C. Caiado, P. Bhatanacharoen, Timothy Adrian Robert Clark, Botha M., Akinbami F., Hollow M., Michie R., Huntley B., Curtis S., Garnett P.
Social Tipping Points And Earth Systems Dynamics, R.A. Bentley, E. Maddison, P. Ranner, J. Bissell, C. Caiado, P. Bhatanacharoen, Timothy Adrian Robert Clark, Botha M., Akinbami F., Hollow M., Michie R., Huntley B., Curtis S., Garnett P.
Research Collection Lee Kong Chian School Of Business
Recently, Early Warning Signals (EWS) have been developed to predict tipping points in Earth Systems. This discussion highlights the potential to apply EWS to human social and economic systems, which may also undergo similar critical transitions. Social tipping points are particularly difficult to predict, however, and the current formulation of EWS, based on a physical system analogy, may be insufficient. As an alternative set of EWS for social systems, we join with other authors encouraging a focus on heterogeneity, connectivity through social networks and individual thresholds to change.
Jointly Modeling Aspects, Ratings And Sentiments For Movie Recommendation (Jmars), Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander J. Smola, Jing Jiang, Chong Wang
Jointly Modeling Aspects, Ratings And Sentiments For Movie Recommendation (Jmars), Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander J. Smola, Jing Jiang, Chong Wang
Research Collection School Of Computing and Information Systems
Recommendation and review sites offer a wealth of information beyond ratings. For instance, on IMDb users leave reviews, commenting on different aspects of a movie (e.g. actors, plot, visual effects), and expressing their sentiments (positive or negative) on these aspects in their reviews. This suggests that uncovering aspects and sentiments will allow us to gain a better understanding of users, movies, and the process involved in generating ratings. The ability to answer questions such as “Does this user care more about the plot or about the special effects?” or ”What is the quality of the movie in terms of acting?” …
Utilizing Microblogs For Improving Automatic News High-Lights Extraction, Zhongyu Wei, Wei Gao
Utilizing Microblogs For Improving Automatic News High-Lights Extraction, Zhongyu Wei, Wei Gao
Research Collection School Of Computing and Information Systems
Story highlights form a succinct single-document summary consisting of 3-4 highlight sentences that reflect the gist of a news article. Automatically producing news highlights is very challenging. We propose a novel method to improve news highlights extraction by using microblogs. The hypothesis is that microblog posts, although noisy, are not only indicative of important pieces of information in the news story, but also inherently “short and sweet” resulting from the artificial compression effect due to the length limit. Given a news article, we formulate the problem as two rank-then-extract tasks: (1) we find a set of indicative tweets and use …
Generating Supplementary Travel Guides From Social Media, Liu Yang, Jing Jiang, Lifu Huang, Minghui Qiu, Lizi Liao
Generating Supplementary Travel Guides From Social Media, Liu Yang, Jing Jiang, Lifu Huang, Minghui Qiu, Lizi Liao
Research Collection School Of Computing and Information Systems
In this paper we study how to summarize travel-related information in forum threads to generate supplementary travel guides. Such summaries presumably can provide additional and more up-to-date information to tourists. Existing multi-document summarization methods have limitations for this task because (1) they do not generate structured summaries but travel guides usually follow a certain template, and (2) they do not put emphasis on named entities but travel guides often recommend points of interest to travelers. To overcome these limitations, we propose to use a latent variable model to align forum threads with the section structure of well-written travel guides. The …
Automatic Fine-Grained Issue Report Reclassification, Pavneet Singh Kochhar, Ferdian Thung, David Lo
Automatic Fine-Grained Issue Report Reclassification, Pavneet Singh Kochhar, Ferdian Thung, David Lo
Research Collection School Of Computing and Information Systems
Issue tracking systems are valuable resources during software maintenance activities. These systems contain different categories of issue reports such as bug, request for improvement (RFE), documentation, refactoring, task etc. While logging issue reports into a tracking system, reporters can indicate the category of the reports. Herzig et al. Recently reported that more than 40% of issue reports are given wrong categories in issue tracking systems. Among issue reports that are marked as bugs, more than 30% of them are not bug reports. The misclassification of issue reports can adversely affects developers as they then need to manually identify the categories …
On Predicting Religion Labels In Microblogging Networks, Minh Thap Nguyen, Ee Peng Lim
On Predicting Religion Labels In Microblogging Networks, Minh Thap Nguyen, Ee Peng Lim
Research Collection School Of Computing and Information Systems
Religious belief plays an important role in how people behave, influencing how they form preferences, interpret events around them, and develop relationships with others. Traditionally, the religion labels of user population are obtained by conducting a large scale census study. Such an approach is both high cost and time consuming. In this paper, we study the problem of predicting users' religion labels using their microblogging data. We formulate religion label prediction as a classification task, and identify content, structure and aggregate features considering their self and social variants for representing a user. We introduce the notion of representative user to …
Lifetime Lexical Variation In Social Media, Lizi Liao, Jing Jiang, Ying Ding, Heyan Huang, Ee-Peng Lim
Lifetime Lexical Variation In Social Media, Lizi Liao, Jing Jiang, Ying Ding, Heyan Huang, Ee-Peng Lim
Research Collection School Of Computing and Information Systems
As the rapid growth of online social media attracts a large number of Internet users, the large volume of content generated by these users also provides us with an opportunity to study the lexical variation of people of different ages. In this paper, we present a latent variable model that jointly models the lexical content of tweets and Twitter users' ages. Our model inherently assumes that a topic has not only a word distribution but also an age distribution. We propose a Gibbs-EM algorithm to perform inference on our model. Empirical evaluation shows that our model can learn meaningful age-specific …
Lifetime Lexical Variation In Social Media, Lizi Liao, Jing Jiang, Ying Ding, Heyan Huang, Ee Peng Lim
Lifetime Lexical Variation In Social Media, Lizi Liao, Jing Jiang, Ying Ding, Heyan Huang, Ee Peng Lim
Research Collection School Of Computing and Information Systems
As the rapid growth of online social media attracts a large number of Internet users, the large volume of content generated by these users also provides us with an opportunity to study the lexical variation of people of different ages. In this paper, we present a latent variable model that jointly models the lexical content of tweets and Twitter users’ ages. Our model inherently assumes that a topic has not only a word distribution but also an age distribution. We propose a Gibbs-EM algorithm to perform inference on our model. Empirical evaluation shows that our model can learn meaningful age-specific …
Of Accessibility And Applicability: How Heat-Related Primes Affect Belief In “Global Warming” And “Climate Change”, Jonathon P. Schuldt, Sungjong Roh
Of Accessibility And Applicability: How Heat-Related Primes Affect Belief In “Global Warming” And “Climate Change”, Jonathon P. Schuldt, Sungjong Roh
Research Collection Lee Kong Chian School Of Business
Research shows that exposure to heat-related cues (e.g., warm temperatures, “fry” and “boil”) influences the belief that global warming exists and poses a serious threat to humans. Drawing on social-cognitive principles of concept accessibility and applicability, we hypothesized that these effects may depend on how the issue is framed, given that heat-related concepts are more compatible with “global warming” than “climate change.” Exploring this possibility, we asked campus passersby about their belief in global warming or climate change shortly after a real-life unseasonably cold weather event (i.e., snowfall during Spring; Study 1). A controlled Web experiment …
Ar-Miner: Mining Informative Reviews For Developers From Mobile App Marketplace, Ning Chen, Jialiu Lin, Steven C. H. Hoi, Xiaokui Xiao, Boshen Zhang
Ar-Miner: Mining Informative Reviews For Developers From Mobile App Marketplace, Ning Chen, Jialiu Lin, Steven C. H. Hoi, Xiaokui Xiao, Boshen Zhang
Research Collection School Of Computing and Information Systems
With the popularity of smartphones and mobile devices, mobile application (a.k.a. “app”) markets have been growing exponentially in terms of number of users and downloads. App developers spend considerable effort on collecting and exploiting user feedback to improve user satisfaction, but suffer from the absence of effective user review analytics tools. To facilitate mobile app developers discover the most “informative” user reviews from a large and rapidly increasing pool of user reviews, we present “AR-Miner” — a novel computational framework for App Review Mining, which performs comprehensive analytics from raw user reviews by (i) first extracting informative user reviews by …
Placing Videos On A Semantic Hierarchy For Search Result Navigation, Song Tan, Yu-Gang Jiang, Chong-Wah Ngo
Placing Videos On A Semantic Hierarchy For Search Result Navigation, Song Tan, Yu-Gang Jiang, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
Organizing video search results in a list view is widely adopted by current commercial search engines, which cannot support efficient browsing for complex search topics that have multiple semantic facets. In this article, we propose to organize video search results in a highly structured way. Specifically, videos are placed on a semantic hierarchy that accurately organizes various facets of a given search topic. To pick the most suitable videos for each node of the hierarchy, we define and utilize three important criteria: relevance, uniqueness, and diversity. Extensive evaluations on a large YouTube video dataset demonstrate the effectiveness of our approach.
Mapping The Social Sciences Landscape: A Way Forward, David A. Pendlebury
Mapping The Social Sciences Landscape: A Way Forward, David A. Pendlebury
Library Events
The use of bibliometric data for the analysis of research performance in the social sciences presents significant challenges, especially in some fields whose publication patterns differ markedly from the sciences. For example, the book literature is a more important vehicle for scholarly communication in many social sciences fields than it is in the sciences and, therefore, should not be excluded from examination. A brief review of this and other issues will be presented as well as those that affect attempts to map research activity in the social sciences. Mapping the specialty and higher-level structure of scholarly research and detecting changes …
Simple Effective Named Entity Recognition For Microblogs: Arabic As An Example, Kareem Darwish, Wei Gao
Simple Effective Named Entity Recognition For Microblogs: Arabic As An Example, Kareem Darwish, Wei Gao
Research Collection School Of Computing and Information Systems
No abstract provided.
Book Review/Response: Maartje De Visser And Laurent Pech On Comparative Constitutional Review In Europe, Laurent Pech, Maartje De Visser
Book Review/Response: Maartje De Visser And Laurent Pech On Comparative Constitutional Review In Europe, Laurent Pech, Maartje De Visser
Research Collection Yong Pung How School Of Law
Laurent Pech reviews Maartje de Visser’s recent book on Constitutional Review in Europe: A Comparative Analysis. Maartje de Visser then responds to the review.
An Integrated Model For User Attribute Discovery: A Case Study On Political Affiliation Identification, Swapna Gottipati, Minghui Qiu, Liu Yang, Feida Zhu, Jing Jiang
An Integrated Model For User Attribute Discovery: A Case Study On Political Affiliation Identification, Swapna Gottipati, Minghui Qiu, Liu Yang, Feida Zhu, Jing Jiang
Research Collection School Of Computing and Information Systems
Discovering user demographic attributes from social media is a problem of considerable interest. The problem setting can be generalized to include three components — users, topics and behaviors. In recent studies on this problem, however, the behavior between users and topics are not effectively incorporated. In our work, we proposed an integrated unsupervised model which takes into consideration all the three components integral to the task. Furthermore, our model incorporates collaborative filtering with probabilistic matrix factorization to solve the data sparsity problem, a computational challenge common to all such tasks. We evaluated our method on a case study of user …
Recurrent Chinese Restaurant Process With A Duration-Based Discount For Event Identification From Twitter, Qiming Diao, Jing Jiang
Recurrent Chinese Restaurant Process With A Duration-Based Discount For Event Identification From Twitter, Qiming Diao, Jing Jiang
Research Collection School Of Computing and Information Systems
Due to the fast development of social media on the Web, Twitter has become one of the major platforms for people to express themselves. Because of the wide adoption of Twitter, events like breaking news and release of popular videos can easily catch people’s attention and spread rapidly on Twitter, and the number of relevant tweets approximately reflects the impact of an event. Event identification and analysis on Twitter has thus become an important task. Recently the Recurrent Chinese Restaurant Process (RCRP) has been successfully used for event identification from news streams and news-centric social media streams. However, these models …
The Relationship Between Phonological Awareness And Executive Attention Among Chinese-English Bilingual Children, Hwajin Yang, Sujin Yang, Carissa Kang
The Relationship Between Phonological Awareness And Executive Attention Among Chinese-English Bilingual Children, Hwajin Yang, Sujin Yang, Carissa Kang
Research Collection School of Social Sciences
We examined the relationship between phonological awareness (PA) and executive attention among Chinese-English bilingual children in the process of learning to read. Seventy-four bilingual children (mean age 67.5 months) completed phonological tasks assessing onset and rime awareness and the Attention Network Test (ANT), a nonverbal measure of executive attention (Rueda et al., 2004). Hierarchical analyses revealed bidirectional relations between PA and executive attention, with PA predicting executive attention and vice versa. The predictive relation of PA to executive attention was more pronounced for English onset and Chinese rime awareness. Evidence of cross-linguistic transfer of PA skills suggests concurrent contributions of …
Stfu Noob!: Predicting Crowdsourced Decisions On Toxic Behavior In Online Games, Jeremy Blackburn, Haewoon Kwak
Stfu Noob!: Predicting Crowdsourced Decisions On Toxic Behavior In Online Games, Jeremy Blackburn, Haewoon Kwak
Research Collection School Of Computing and Information Systems
One problem facing players of competitive games is negative, or toxic, behavior. League of Legends, the largest eSport game, uses a crowdsourcing platform called the Tribunal to judge whether a reported toxic player should be punished or not. The Tribunal is a two stage system requiring reports from those players that directly observe toxic behavior, and human experts that review aggregated reports. While this system has successfully dealt with the vague nature of toxic behavior by majority rules based on many votes, it naturally requires tremendous cost, time, and human efforts. In this paper, we propose a supervised learning approach …
On Predicting User Affiliations Using Social Features In Online Social Networks, Minh Thap Nguyen
On Predicting User Affiliations Using Social Features In Online Social Networks, Minh Thap Nguyen
Dissertations and Theses Collection (Open Access)
User profiling such as user affiliation prediction in online social network is a challenging task, with many important applications in targeted marketing and personalized recommendation. The research task here is to predict some user affiliation attributes that suggest user participation in different social groups.
Speaking Of Corporate Social Responsibility, Hao Liang, Christopher Marquis, Luc Renneboog, Sunny Li Sun
Speaking Of Corporate Social Responsibility, Hao Liang, Christopher Marquis, Luc Renneboog, Sunny Li Sun
Research Collection Lee Kong Chian School Of Business
We argue that the language spoken by corporate decision makers influences their firms’ social responsibility and sustainability practices. Linguists suggest that obligatory future-time-reference (FTR) in a language reduces the psychological importance of the future. Prior research has shown that speakers of strong FTR languages (such as English, French, and Spanish) exhibit less future-oriented behavior (Chen, 2013). Yet, research has not established how this mechanism may affect the future-oriented activities of corporations. We theorize that companies with strong-FTR languages as their official/working language would have less of a future orientation and so perform worse in future-oriented activities such as corporate social …
A Comparative Study On The Effectiveness Of Part-Of-Speech Tagging Techniques On Bug Reports, Yuan Tian, David Lo
A Comparative Study On The Effectiveness Of Part-Of-Speech Tagging Techniques On Bug Reports, Yuan Tian, David Lo
Research Collection School Of Computing and Information Systems
Many software artifacts are written in natural language or contain substantial amount of natural language contents. Thus these artifacts could be analyzed using text analysis techniques from the natural language processing (NLP) community, e.g., the part-of-speech (POS) tagging technique that assigns POS tags (e.g., verb, noun, etc.) to words in a sentence. In the literature, several studies have already applied POS tagging technique on software artifacts to recover important words in them, which are then used for automating various tasks, e.g., locating buggy files for a given bug report, etc. There are many POS tagging techniques proposed and they are …
Food Environment And Socioeconomic Status Influence Obesity Rates In Seattle And In Paris, Adam Drewnowski, Anne Vernez Moudon, Junfeng Jiao, Anju Aggarwal, Helene Charreire, Basile Chaix
Food Environment And Socioeconomic Status Influence Obesity Rates In Seattle And In Paris, Adam Drewnowski, Anne Vernez Moudon, Junfeng Jiao, Anju Aggarwal, Helene Charreire, Basile Chaix
Research Collection College of Integrative Studies
OBJECTIVE: To compare the associations between food environment at the individual level, socioeconomic status (SES) and obesity rates in two cities: Seattle and Paris. METHODS: Analyses of the SOS (Seattle Obesity Study) were based on a representative sample of 1340 adults in metropolitan Seattle and King County. The RECORD (Residential Environment and Coronary Heart Disease) cohort analyses were based on 7131 adults in central Paris and suburbs. Data on sociodemographics, health and weight were obtained from a telephone survey (SOS) and from in-person interviews (RECORD). Both studies collected data on and geocoded home addresses and food shopping locations. Both studies …