Digital Commons Network^™

Contributions To The Committee On The Future Economy, Singapore Management University

Research Collection School Of Economics

In response to the call to contribute to the dialogue initiated by the Committee on The Future Economy (CFE), SMU has held a series of engagement sessions with faculty and staff to brainstorm and propose recommendations to add to the government’s deliberations on strategies for the next stage of Singapore’s economic growth. Through the leadership of SMU Provost, Professor Lily Kong, faculty and senior staff produced various recommendations on five key areas namely Corporate Capabilities and Innovation, Future Growth Industries & Markets, Future of Connectivity, Future City and Future Jobs and Skills.

Comparative Resources: Continental Philosophy And Daoism, Steven Burik

Research Collection School of Social Sciences

I argue that continental philosophical resources are more appropriate for comparative philosophy regarding classical Daoism since they in various ways challenge the dominant metaphysical orientation of Western thought and give us a better and more appropriate vocabulary to make sense of important Daoist ideas within the confines of Western languages. Since classical Daoism is largely non-metaphysical or at least not metaphysical in the same way as the Western history of philosophy is, it makes sense that those within the Western tradition who have sought to displace the dominant metaphysical tradition would be more in tune with such non-metaphysical considerations. I …

Mobile App Tagging, Ning Chen, Steven C. H. Hoi, Shaohua Li, Xiaokui Xiao

Research Collection School Of Computing and Information Systems

Mobile app tagging aims to assign a list of keywords indicating core functionalities, main contents, key features or concepts of a mobile app. Mobile app tags can be potentially useful for app ecosystem stakeholders or other parties to improve app search, browsing, categorization, and advertising, etc. However, most mainstream app markets, e.g., Google Play, Apple App Store, etc., currently do not explicitly support such tags for apps. To address this problem, we propose a novel auto mobile app tagging framework for annotating a given mobile app automatically, which is based on a search-based annotation paradigm powered by machine learning techniques. …

Public Vs. Private Schooling As A Route To Universal Basic Education: A Comparison Of China And India, William C. Smith, Devin K. Joshi

Research Collection School of Social Sciences

This article examines whether focusing primarily on public schooling can lead to more rapid achievement of universal basic education (UBE) than relying on a mixture of public and private schooling. Through a structured, focused comparison, we find China's greater emphasis on public schooling has contributed to higher enrollment, attendance, graduation rates, gender parity, and proportion of students entering higher education than India, the country with the world's largest private sector in primary and secondary education. This comparison suggests that greater emphasis on public schooling in developing countries may lead to more rapid UBE attainment than encouraging privatization.

Societal Leadership In Southeast Asia: National Landscapes, Challenges And Opportunities To Enhance Societal Impact, Institute For Societal Leadership

Institute of Societal Leadership Research Collection

This study draws its contents from the findings and insights that colleagues from the Institute for Societal Leadership have put together in the form of eleven Southeast Asian Country Insights Labs reports. The Country Insights Labs were undertaken to uncover the critical social issues facing leaders from business, government and civil society in each Southeast Asian country. During the visits to each country, ISL staff also investigated the challenges faced by civil society organisations (CSOs) such as philanthropic organisations, corporate foundations, non-governmental organisations (NGOs), activist groups, social enterprises and impact investment funders. This paper aggregates the background research and key …

Moocs And Crowdsourcing: Massive Courses And Massive Resources, John Prpić, James Melton, Araz Taeihagh, Terry Anderson

Research Collection School of Social Sciences

Premised upon the observation that MOOC and crowdsourcing phenomena share several important characteristics, including IT mediation, large-scale human participation, and varying levels of openness to participants, this work systematizes a comparison of MOOC and crowdsourcing phenomena along these salient dimensions. In doing so, we learn that both domains share further common traits, including similarities in IT structures, knowledge generating capabilities, presence of intermediary service providers, and techniques designed to attract and maintain participant activity. Stemming directly from this analysis, we discuss new directions for future research in both fields and draw out actionable implications for practitioners and researchers in both …

Capstone Projects Mining System For Insights And Recommendations, Melvrivk Aik Chun Goh, Swapna Gottipati, Venky Shankararaman

Research Collection School Of Computing and Information Systems

In this paper, we present a classification based system to discover knowledge and trends in higher education students’ projects. Essentially, the educational capstone projects provide an opportunity for students to apply what they have learned and prepare themselves for industry needs. Therefore mining such projects gives insights of students’ experiences as well as industry project requirements and trends. In particular, we mine capstone projects executed by Information Systems students to discover patterns and insights related to people, organization, domain, industry needs and time. We build a capstone projects mining system (CPMS) based on classification models that leverage text mining, natural …

Modeling Social Media Content With Word Vectors For Recommendation, Ying Ding, Jing Jiang

Research Collection School Of Computing and Information Systems

In social media, recommender systems are becoming more and more important. Different techniques have been designed for recommendations under various scenarios, but many of them do not use user-generated content, which potentially reflects users’ opinions and interests. Although a few studies have tried to combine user-generated content with rating or adoption data, they mostly reply on lexical similarity to calculate textual similarity. However, in social media, a diverse range of words is used. This renders the traditional ways of calculating textual similarity ineffective. In this work, we apply vector representation of words to measure the semantic similarity between text. We …

A Critical Assessment Of The Role Of The Venice Commission In Processes Of Domestic Constitutional Reform, Maartje De Visser

Research Collection Yong Pung How School Of Law

On January 26, 2014, an overwhelming majority of the National Constituent Assembly of Tunisia approved the country's new constitution. Drafted in the aftermath of the Tunisian revolution, the constitution received considerable international critical acclaim, regarding the manner in which the text had been drafted and adopted as well as its content, notably the entrenchment of a host of fundamental rights and liberties. Comparisons have inevitably been drawn with Egypt's new constitution and those of other Arab nations, with the Tunisian text hailed as one of the most progressive in the region, providing the foundations for a modern and credible democracy. …

Societal Influence, Leadership And Impact: Defining Traits Of Twenty Pioneer Southeast Asian Leaders, Institute For Societal Leadership, Lai Cheng Lim

Institute of Societal Leadership Research Collection

This study focuses on twenty Southeast Asian leaders who have been key players during critical transitions in the social, economic and political development of their country. In asking each of the societal leaders questions concerning their motivation, the cause they were championing and the factors that have led to their success as leaders, the study attempts to draw out common traits they possess and investigates whether the traits that make people effective societal leaders differ across socio-cultural and historical contexts. A grounded theory approach is used in the analysis of the attributes and traits that emerge from the transcripts of …

Contemporary Daoist Tangki Practice, Margaret Chan

Research Collection School of Social Sciences

Since 1979, China has seen a renaissance of indigenous belief systems, including Daoist tangki spirit-medium practice. Tangki traditions have Neolithic roots. The founding myth is of a man who magically battled flood demons to save China. In imperial times, ordinary people, disenfranchised by the state religion and pawns of dynastic wars, created a soteriology of self-empowerment. Ordinary people would transform through spirit pos-session into warrior gods who would save the community. Millennia-old tangki traditions have diffused into the modern Chinese quotidian. With a remote Central Committee of the Communist Party recalling distant emperors, village temples, many led by tangkis, have …

Vireo-Tno @ Trecvid 2015: Multimedia Event Detection, Hao Zhang, Yi-Jie Lu, Maaike De Boer, Frank Ter Haar, Zhaofan Qiu, Klamer Schutte, Wessel Kraaij, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

This paper presents an overview and comparative analysis of our systems designed for the TRECVID 2015 [1] multimedia event detection (MED) task. We submitted 17 runs, of which 5 each for the zeroexample, 10-example and 100-example subtasks for the Pre-Specified (PS) event detection and 2 runs for the 10-example subtask for the Ad-Hoc (AH) event detection. We did not participate in the Interactive Run. This year we focus on three different parts of the MED task: 1) extending the size of our concept bank and combining it with improved dense trajectories; 2) exploring strategies for semantic query generation (SQG); and …

Sweet Love: The Effects Of Sweet Taste Experience On Romantic Perceptions, Ren Dongning, Kenneth Tan, Ximena B. Arriaga, Kai Qin Chan

Research Collection School of Social Sciences

Terms of endearment such as sweetie, honey, and sugar are commonly used in the context of describing romantic partners. This article explores how a relatively subtle manipulation, namely taste sensations, might influence romantic perceptions of a nonestablished relationship. Consistent with predictions, results from Studies 1 and 2 (n = 280) showed that participants evaluated a hypothetical relationship, but not an existing relationship, more favorably when exposed to sweet taste compared to non-sweet taste control. Study 3 (n = 142) further showed that participants indicated greater interest in initiating a relationship with a potential partner when exposed to sweet taste, as …

A Method And System For Sentiment Classification And Emotion Classification [Us Patent 20170308523a1], Zhaoxia Wang, Rick Siow Mong Goh, Yinping Yang

Research Collection School Of Computing and Information Systems

A system and a method for classifying text messages, such as social media messages into sentiment valence categories are provided. The system comprising a module for decomposing text messages, a module for cleaning text messages, a module for producing feature data of text messages, and a module for classifying text messages into sentiment valence categories. The module for decomposing text messages is configured to: receive a text message, parse the text message into separate portions in response to parsing criteria based on sentence delimiters, wherein the separate portions are sentences, phrases and words, and rejoin at least some of the …

Deep Multimodal Learning For Affective Analysis And Retrieval, Lei Pang, Shiai Zhu, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Social media has been a convenient platform for voicing opinions through posting messages, ranging from tweeting a short text to uploading a media file, or any combination of messages. Understanding the perceived emotions inherently underlying these user-generated contents (UGC) could bring light to emerging applications such as advertising and media analytics. Existing research efforts on affective computation are mostly dedicated to single media, either text captions or visual content. Few attempts for combined analysis of multiple media are made, despite that emotion can be viewed as an expression of multimodal experience. In this paper, we explore the learning of highly …

Challenges In Analyzing Software Documentation In Portuguese, Christoph Treude, Carlos A. Prolo, Fernando Figueira Filho

Research Collection School Of Computing and Information Systems

Many tools that automatically analyze, summarize, or transform software artifacts rely on natural language processing tooling for the interpretation of natural language text produced by software developers, such as documentation, code comments, commit messages, or bug reports. Processing natural language text produced by software developers is challenging because of unique characteristics not found in other texts, such as the presence of code terms and the systematic use of incomplete sentences. In addition, texts produced by Portuguese-speaking developers mix languages since many keywords and programming concepts are referred to by their English name. In this paper, we provide empirical insights into …

Choosing Your Weapons: On Sentiment Analysis Tools For Software Engineering Research, Robbert Jongeling, Subhajit Datta, Alexander Serebrenik

Research Collection School Of Computing and Information Systems

Recent years have seen an increasing attention to social aspects of software engineering, including studies of emotions and sentiments experienced and expressed by the software developers. Most of these studies reuse existing sentiment analysis tools such as SentiStrength and NLTK. However, these tools have been trained on product reviews and movie reviews and, therefore, their results might not be applicable in the software engineering domain. In this paper we study whether the sentiment analysis tools agree with the sentiment recognized by human evaluators (as reported in an earlier study) as well as with each other. Furthermore, we evaluate the impact …

Towards Automatic Generation Of Security-Centric Descriptions For Android Apps, Mu Zhang, Yue Duan, Qian Feng, Heng Yin

Research Collection School Of Computing and Information Systems

To improve the security awareness of end users, Android markets directly present two classes of literal app information: 1) permission requests and 2) textual descriptions. Unfortunately, neither can serve the needs. A permission list is not only hard to understand but also inadequate; textual descriptions provided by developers are not security-centric and are significantly deviated from the permissions. To fill in this gap, we propose a novel technique to automatically generate security-centric app descriptions, based on program analysis. We implement a prototype system, DESCRIBEME, and evaluate our system using both DroidBench and real-world Android apps. Experimental results demonstrate that DESCRIBEME …

Being Chinese Again: Learning Mandarin In Post-Suharto Indonesia, Charlotte Setijadi

Research Collection School of Social Sciences

For thirty-two years under former President Suharto’s New Order regime (from 1966-1998), the teaching of Chinese languages in schools was banned in Indonesia. During this period of total assimilation, public displays of Chinese characters were prohibited along with other forms of Chinese cultural expressions, allegedly for the sake of national unity. From 1966-69, hundreds of Chinese medium schools and Chinese language press were closed in Chinese settlements throughout the archipelago and the formal teaching of Chinese languages in Indonesia effectively ceased. As a result, the majority of contemporary Chinese Indonesians no longer have the ability to speak, let alone write …

Mood Self-Assessment On Smartphones, Le Minh Khue, Eng Lieh Ouh, Stan Jarzabek

Research Collection School Of Computing and Information Systems

Mood has been systematically studied by psychologists for over 100 years. As mood is a subjective feeling, any study of mood must take into account and accurately capture user’s perception of an experienced feeling. In last 40 years, a number of pen-andpaper mood self-assessment scales have been proposed. Typically, a person is asked to separately rate various dimensions of the experienced feeling (e.g., pleasure and arousal) or mood items (interested, agitated, excited, etc.) on numeric scales (e.g., between 0 and 10). These partial ratings are then combined into an overall mood rating (or into its positive and negative affect). Penand-paper …

Analyzing Educational Comments For Topics And Sentiments: A Text Analytics Approach, Gokran Ila Nitin, Swapna Gottipati, Venky Shankararaman

Research Collection School Of Computing and Information Systems

Universities collect qualitative and quantitative feedback from students upon course completion in order to improve course quality and students’ learning experience. Combining program-wide and module-specific questions, universities collect feedback from students on three main aspects of a course namely, teaching style, content, and learning experience. The feedback is collected through both qualitative comments and quantitative scores. Current methods for analyzing the student course evaluations are manual and majorly focus on quantitative feedback and fall short of an in-depth exploration of qualitative feedback. In this paper, we develop student feedback mining system (SFMS) which applies text analytics and opinion mining approach …

Evaluation And Improvement Of Procurement Process With Data Analytics, Melvin H. C. Tan, Wee Leong Lee

Research Collection School Of Computing and Information Systems

Analytics can be applied in procurement to benefit organizations beyond just prevention and detection of fraud. This study aims to demonstrate how advanced data mining techniques such as text mining and cluster analysis can be used to improve visibility of procurement patterns and provide decision-makers with insight to develop more efficient sourcing strategies, in terms of cost and effort. A case study of an organization’s effort to improve its procurement process is presented in this paper. The findings from this study suggest that opportunities exist for organizations to aggregate common goods and services among the purchases made under and across …

Did You Expect Your Users To Say This?: Distilling Unexpected Micro-Reviews For Venue Owners, Wen-Haw Chong, Bingtian Dai, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

With social media platforms such as Foursquare, users can now generate concise reviews, i.e. micro-reviews, about entities such as venues (or products). From the venue owner's perspective, analysing these micro-reviews will offer interesting insights, useful for event detection and customer relationship management. However not all micro-reviews are equally important, especially since a venue owner should already be familiar with his venue's primary aspects. Instead we envisage that a venue owner will be interested in micro-reviews that are unexpected to him. These can arise in many ways, such as users focusing on easily overlooked aspects (by the venue owner), making comparisons …

Name List Only? Target Entity Disambiguation In Short Texts, Yixin Cao, Juanzi Li, Xiaofei Guo, Shuanhu Bai, Heng Ji, Jie Tang

Research Collection School Of Computing and Information Systems

Target entity disambiguation (TED), the task of identifying target entities of the same domain, has been recognized as a critical step in various important applications. In this paper, we propose a graphbased model called TremenRank to collectively identify target entities in short texts given a name list only. TremenRank propagates trust within the graph, allowing for an arbitrary number of target entities and texts using inverted index technology. Furthermore, we design a multi-layer directed graph to assign different trust levels to short texts for better performance. The experimental results demonstrate that our model outperforms state-of-the-art methods with an average gain …

Using Content-Level Structures For Summarizing Microblog Repost Trees, Jing Li, Wei Gao, Zhongyu Wei, Baolin Peng, Kam-Fai Wong

Research Collection School Of Computing and Information Systems

A microblog repost tree provides strong clues on how an event described therein develops. To help social media users capture the main clues of events on microblogging sites, we propose a novel repost tree summarization framework by effectively differentiating two kinds of messages on repost trees called leaders and followers, which are derived from contentlevel structure information, i.e., contents of messages and the reposting relations. To this end, Conditional Random Fields (CRF) model is used to detect leaders across repost tree paths. We then present a variant of random-walk-based summarization model to rank and select salient messages based on the …

Understanding The Building Blocks Of Selection Procedures: Effects Of Response Fidelity On Performance And Validity, Filip Lievens, Wilfried De Corte, Lena Westerveld

Research Collection Lee Kong Chian School Of Business

This study aims to advance our conceptual understanding of selection procedures by exploring the effect of response fidelity (i.e., written constructed response vs. behavioral constructed response) on test performance, validity, and applicant perceptions. Stimulus fidelity (multimedia stimulus) was kept constant. In a field experiment, 208 applicants for entry-level police officer jobs completed a multimedia situational judgment test with written constructed responses and behavioral responses. We hypothesized the behavioral response mode (a) to be a better predictor of police trainee performance one year later, (b) to be less cognitively saturated, (c) to exhibit higher personality (extraversion) saturation, and (d) to be …

Towards Opinion Summarization From Online Forums, Ding Ying, Jing Jiang

Research Collection School Of Computing and Information Systems

Summarizing opinions expressed in online forums can potentially benefit many people. However, special characteristics of this problem may require changes to standard text summarization techniques. In this work, we present our initial attempt at extractive summarization of opinionated online forum threads. Given the nature of user generated content in online discussion forums, we hypothesize that besides relevance, text quality and subjectivity also play important roles in deciding which sentences are good summary sentences. We therefore construct an annotated corpus to facilitate our study of extractive summarization of online discussion forums. We define a set of features to capture relevance, text …

A Joint Model Of Product Properties, Aspects And Ratings For Online Reviews, Ding Ying, Jing Jiang

Research Collection School Of Computing and Information Systems

Product review mining is an important task that can benefit both businesses and consumers. Lately a number of models combining collaborative filtering and content analysis to model reviews have been proposed, among which the Hidden Factors as Topics (HFT) model is a notable one. In this work, we propose a new model on top of HFT to separate product properties and aspects. Product properties are intrinsic to certain products (e.g. types of cuisines of restaurants) whereas aspects are dimensions along which products in the same category can be compared (e.g. service quality of restaurants). Our proposed model explicitly separates the …

Using Content-Level Structures For Summarizing Microblog Repost Trees, Jing Li, Wei Gao, Zhongyu Wei, Baolin Peng, Kam-Fai Wong

Research Collection School Of Computing and Information Systems

A microblog repost tree provides strong clues on how an event described therein develops. To help social media users capture the main clues of events on microblogging sites, we propose a novel repost tree summarization framework by effectively differentiating two kinds of messages on repost trees called leaders and followers, which are derived from contentlevel structure information, i.e., contents of messages and the reposting relations. To this end, Conditional Random Fields (CRF) model is used to detect leaders across repost tree paths. We then present a variant of random-walk-based summarization model to rank and select salient messages based on the …

The Singapore Legal System, Eugene K. B. Tan, Gary Kok Yew Chan

Research Collection Yong Pung How School Of Law

The Singapore legal system is a rich tapestry of laws, institutions, values, history and culture. Like the Singapore-made quilt, each strand of the legal system is woven together to form a jurisprudential kaleidoscope bounded by a unique national identity.

The legal system will inevitably undergo tension as socio-economic and politico-legal changes unfold with increased globalisation and regionalisation. Thus, Singapore has to respond swiftly and deftly in creating new laws and institutions or adapting existing ones.

In this regard, Singapore is and has been ready and willing to learn from the legal developments taking place in foreign jurisdictions with similar aspirations. …