Users’ Sentiment Analysis toward National Digital Library of India: a Quantitative Approach for Understanding User perception

Sentiment analysis is also known as opinion mining. Sentiment analysis is contextual mining of text which identifies and extracts subjective information in textual data. It is extremely used by business, educational organizations, and social media monitoring to gain the general outlook of the wide public regarding their product and policy. The current study looks for gaining insights into user reviews on the National Digital Library of India (NDLI) mobile app (android and iOS). For this purpose, sentiment analysis will be used. It yields an average of 3.64/5 ratings based on 11,861 reviews. The dataset includes a total of 4560 user reviews in which iOS and the android app have received 33 and 4527 reviews respectively as on 7th Sept 2021. AppBot and AppFollow analytics software is used to extract and collect user review information as raw data. The study shows the reviews of the NDLI mobile app as 2130 positive and 1808 negative sentiments for android & 6 positive and 22 negative sentiments for iOS. The overall sentiment score is found to be 66%. The results of the sentiment analysis show that Android users are more satisfied as compared to iOS users. The most frequent complaints made by the users are functional errors, feature requests and app crashes. Some of the major issues that users have complained about are books that need to be downloaded before reading and some pdfs are blank once opened. The value of this research is getting an insight into the behaviour of users towards using apps on different platforms (Android vs iOS) and provides valuable results for the app developers in monitoring usage and enhancing features for the satisfaction of users. The findings reveal that stakeholders/developers need to pay more attention to make the app more user-friendly

Spatial and Temporal Sentiment Analysis of Twitter data

The public have used Twitter world wide for expressing opinions. This study focuses on spatio-temporal variation of georeferenced Tweets’ sentiment polarity, with a view to understanding how opinions evolve on Twitter over space and time and across communities of users. More specifically, the question this study tested is whether sentiment polarity on Twitter exhibits specific time-location patterns. The aim of the study is to investigate the spatial and temporal distribution of georeferenced Twitter sentiment polarity within the area of 1 km buffer around the Curtin Bentley campus boundary in Perth, Western Australia. Tweets posted in campus were assigned into six spatial zones and four time zones. A sentiment analysis was then conducted for each zone using the sentiment analyser tool in the Starlight Visual Information System software. The Feature Manipulation Engine was employed to convert non-spatial files into spatial and temporal feature class. The spatial and temporal distribution of Twitter sentiment polarity patterns over space and time was mapped using Geographic Information Systems (GIS). Some interesting results were identified. For example, the highest percentage of positive Tweets occurred in the social science area, while science and engineering and dormitory areas had the highest percentage of negative postings. The number of negative Tweets increases in the library and science and engineering areas as the end of the semester approaches, reaching a peak around an exam period, while the percentage of negative Tweets drops at the end of the semester in the entertainment and sport and dormitory area. This study will provide some insights into understanding students and staff ’s sentiment variation on Twitter, which could be useful for university teaching and learning management

European Handbook of Crowdsourced Geographic Information

"This book focuses on the study of the remarkable new source of geographic information that has become available in the form of user-generated content accessible over the Internet through mobile and Web applications. The exploitation, integration and application of these sources, termed volunteered geographic information (VGI) or crowdsourced geographic information (CGI), offer scientists an unprecedented opportunity to conduct research on a variety of topics at multiple scales and for diversified objectives. The Handbook is organized in five parts, addressing the fundamental questions: What motivates citizens to provide such information in the public domain, and what factors govern/predict its validity?What methods might be used to validate such information? Can VGI be framed within the larger domain of sensor networks, in which inert and static sensors are replaced or combined by intelligent and mobile humans equipped with sensing devices? What limitations are imposed on VGI by differential access to broadband Internet, mobile phones, and other communication technologies, and by concerns over privacy? How do VGI and crowdsourcing enable innovation applications to benefit human society? Chapters examine how crowdsourcing techniques and methods, and the VGI phenomenon, have motivated a multidisciplinary research community to identify both fields of applications and quality criteria depending on the use of VGI. Besides harvesting tools and storage of these data, research has paid remarkable attention to these information resources, in an age when information and participation is one of the most important drivers of development. The collection opens questions and points to new research directions in addition to the findings that each of the authors demonstrates. Despite rapid progress in VGI research, this Handbook also shows that there are technical, social, political and methodological challenges that require further studies and research.

Social Interface and Interaction Design for Group Recommender Systems

Group recommender systems suggest items of interest to a group of people. Traditionally, group recommenders provide recommendations by aggregation the group membersâ preferences. Nowadays, there is a trend of decentralized group recommendation process that leverages the group dynamics and reaches the recommendation goal by allowing group members to influence and persuade each other. So far, the research on group recommender systems mainly focuses on the how to optimize the preference aggregation and enhance the accuracy of recommendations. There is a lack of emphasis on the usersâ social experience, such as interpersonal relationship, emotion exchange, group dynamics, etc. We define the space where user-user interaction occurs in social software as social interfaces. In this thesis, we aim to design and evaluate social interfaces and interactions for group recommender systems. We start with surveying the state-of-the-art of user issues in group recommender systems and interface and interaction design in the broad sense of social applications. We present ten applications and their evaluation via user studies, which lead to a preliminary set of social interface and interaction design guidelines. Based on these guidelines, we develop group recommender systems to investigate the design issues. We then study social interfaces for group recommender systems. We present the design and development ofan experimental platformcalled GroupFun that recommends music to a group of users. We then study the impact of emotion awareness in group recommender systems. More concretely, we design and implement two different methods for emotion awareness: CoFeel and ACTI that visualize emotions using color wheels, and empatheticons that present emotions using dynamic animations of usersâ profile pictures. Our user studies show that emotion awareness tools can help users familiarize with other membersâ preferences, enhance their interpersonal relationships, increase the sense of connectedness in distributed social interactions, and result in higher consensus and satisfaction in group recommendations. We also examine social interactions for persuasive technologies. We design and develop a mobile social game called HealthyTogether that enables dyads to exercise together. With this platform, we study how different social interaction mechanisms, such as social accountability, competition, cooperation, and team spirits, can help usersmotivate and influence each other in physical exercises. We conducted three user studies lasting for up to ten weeks with a total of 80 users. Being accountable for each otherâs performance enhances interpersonal relationships. Supporting users to cooperate on health goals significantly improve their number of steps. When designing competition in the applications, it is crucial to help users to choose comparable buddies. Finally, teamwork in exercises not only helps users to increase their steps, but also help them sustain in exercise. Furthermore, we present an evaluation framework for social persuasive applications. The framework aims at modeling how social strategies and social influence affect user attitudes and behavioral intentions towards the system. Finally, we derive a set of guidelines for social interface and interaction design for group recommender systems. The guidelines can help researchers and practitioners effectively design social experiences for not only group recommenders but also other social software [...

The Way of Humanity: Confucian Wisdom for an Opening World (Teachings of the Korean Philosopher, Haengchon)

There are two recordings of chants included as supplemental files in this record. Each has been made available in .wav format and .mp3 format. The files in the .mp3 format are much smaller and suitable for downloading in situations where bandwidth is restricted.The second edition of this book is available at http://hdl.handle.net/1808/32470, including a link to buy a paper bound copy.The second edition of this book is available at http://hdl.handle.net/1808/32470, including a link to buy a paper bound copy.The Way of Humanity presents a Confucian vision for personal and social transformation intended to bring about a worldwide social order of harmony, dignity, and justice for all peoples, beyond divisive sectarianism and nationalism. It is based on ideals for human flourishing gleaned from Confucian and Neo-Confucian thought as distilled by a highly respected elder philosopher in South Korea, Yi Dong Jun, PhD (Haengchon, literary name). He is Professor Emeritus of the College of Confucian Studies and Eastern Philosophy at Sungkyunkwan University in Seoul. This work is the first detailed presentation of a contemporary Korean philosopher’s perspective on Confucianism as grounded in daily life, its implications for personal spiritual development, and its potential to contribute to world development. The book holistically presents Master Haengchon’s insights through vivid stories, philosophical essays, numerous illustrations, audio recordings of Confucian chanting, and recommendations for further reading

The Way of Humanity: Confucian Wisdom for an Opening World (Teachings of the Korean Philosopher, Haengchon) - Second Edition

There are two recordings of chants included as supplemental files in this record. Each has been made available in .wav format and .mp3 format. The files in the .mp3 format are much smaller and suitable for downloading in situations where bandwidth is restricted.The Way of Humanity, second edition, presents a Confucian vision for personal and social transformation intended to bring about a worldwide social order of harmony, dignity, and justice for all peoples, beyond divisive sectarianism and nationalism. It is based on ideals for human flourishing gleaned from Confucian and Neo-Confucian thought as distilled by a highly respected elder philosopher in South Korea, Yi Dong Jun, PhD (Haengchon, literary name). He is Professor Emeritus of the College of Confucian Studies and Eastern Philosophy at Sungkyunkwan University in Seoul. This work is the first detailed presentation of a contemporary Korean philosopher’s perspective on Confucianism as grounded in daily life, its implications for personal spiritual development, and its potential to contribute to world development. The book holistically presents Master Haengchon’s insights through vivid stories, philosophical essays, numerous illustrations, audio recordings of Confucian chanting, recommendations for further reading, and, new to the second edition, poems inspired by Confucian classics about ideals for an opening of the world to wellbeing and justice for all peoples

Real-time 3D Graphic Augmentation of Therapeutic Music Sessions for People on the Autism Spectrum

This thesis looks at the requirements analysis, design, development and evaluation of an application, CymaSense, as a means of improving the communicative behaviours of autistic participants through therapeutic music sessions, via the addition of a visual modality. Autism spectrum condition (ASC) is a lifelong neurodevelopmental disorder that can affect people in a number of ways, commonly through difficulties in communication. Interactive audio-visual feedback can be an effective way to enhance music therapy for people on the autism spectrum. A multi-sensory approach encourages musical engagement within clients, increasing levels of communication and social interaction beyond the sessions.Cymatics describes a resultant visualised geometry of vibration through a variety of mediums, typically through salt on a brass plate or via water. The research reported in this thesis focuses on how an interactive audio-visual application, based on Cymatics, might improve communication for people on the autism spectrum.A requirements analysis was conducted through interviews with four therapeutic music practitioners, aimed at identifying working practices with autistic clients. CymaSense was designed for autistic users in exploring effective audio-visual feedback, and to develop meaningful cross-modal mappings of musical practitioner-client communication. CymaSense mappings were tested by 17 high functioning autistic participants, and by 30 neurotypical participants. The application was then trialled as a multimodal intervention for eight participants with autism, over a 12-week series of therapeutic music sessions. The study captured the experiences of the users and identified behavioural changes as a result, including information on how CymaSense could be developed further. This dissertation contributes evidence that multimodal applications can be used within therapeutic music sessions as a tool to increase communicative behaviours for autistic participants