Proceedings. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology最新文献_第2页

Visualization of POI Competitiveness Using Extracted Map Tiles from Social Media Response Since COVID-19 利用从COVID-19以来的社交媒体响应中提取的地图块可视化POI竞争力

Proceedings. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Pub Date : 2021-12-14 DOI: 10.1145/3486622.3493996

Huaze Xie, Da Li, Yuanyuan Wang, Yukiko Kawai

{"title":"Visualization of POI Competitiveness Using Extracted Map Tiles from Social Media Response Since COVID-19","authors":"Huaze Xie, Da Li, Yuanyuan Wang, Yukiko Kawai","doi":"10.1145/3486622.3493996","DOIUrl":"https://doi.org/10.1145/3486622.3493996","url":null,"abstract":"Since the spread of COVID-19 around the world, a series of policies and measures are adopted by the Japanese government to control the epidemic. As a result of these policies, people’s daily life and the functional division of society have changed. In order to understand the changes in urban function and people’s daily behavior over the past year, we collected and analyzed over 1.13 million social media data (Twitter in our example) containing geographic information. We propose regional competitiveness, which represents the access frequency of social data in each raster unit to several attributes. In order to analyze the regional competitiveness in different categories and map tiles, we applied an improved spatio-temporal graph attention network model (ST-GAT) based on unstructured POI (point of interest) data and Twitter data in different levels of the map to abstract the city-regional competitiveness. We have developed and evaluated the competitiveness map tiles based on 5 attributes utilized Twitter data at 2020 of Kyoto in Japan. As the spread of COVID-19 disease and government anti-epidemic measures change the frequency of visits to the core of the city and the trend of regional competitiveness, and our results showed that the regional competitiveness in the map tiles obtained by social media data and POI data visualizes the dynamic change analysis of crowd behavior activities and urban social functions. This research enlightens the promising future of spatio-temporal GAT in users’ dynamic responses with geographic information.","PeriodicalId":89230,"journal":{"name":"Proceedings. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86243957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Does Activeness Originate in Individuals or Groups? Analysis of the Interrelationships between Network Indices and Posts Using Multilevel Cross-Lagged Model 主动性源于个人还是群体?利用多层次交叉滞后模型分析网络指标与岗位的相互关系

Proceedings. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Pub Date : 2021-12-14 DOI: 10.1145/3498851.3498939

Kenta Tsukatsune, Tatsuya Konishi, Yuto Mizutani, Mori Kurokawa, Shuichiro Haruta, T. Saito

{"title":"Does Activeness Originate in Individuals or Groups? Analysis of the Interrelationships between Network Indices and Posts Using Multilevel Cross-Lagged Model","authors":"Kenta Tsukatsune, Tatsuya Konishi, Yuto Mizutani, Mori Kurokawa, Shuichiro Haruta, T. Saito","doi":"10.1145/3498851.3498939","DOIUrl":"https://doi.org/10.1145/3498851.3498939","url":null,"abstract":"Web services allow users to send messages to each other. Thus, exploring the structural features of human networks that contribute to the increased activity of a service is both an academic question for researchers and a management interest for companies. However, some indices reflecting the characteristics of the network structure show the characteristics of individuals in the network, while others show those of the entire group (network). The analyst must understand these differences in characteristics before measuring the influence of indices on human activity. In addition, network indices are interrelated, and it is difficult to determine which index has the true causal effect. In this study, we select indices and apply a method that combines multilevel SEM (ML-SEM) and a cross-lagged model (CLM). Using Unipos data with network structures, we search for indices that affect monthly post frequency from among centrality and a scale-free index calculated based on an individual and a group, respectively. The results of our analysis show that closeness centrality has consistent and significant positive effects on post frequency in subsequent periods.","PeriodicalId":89230,"journal":{"name":"Proceedings. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86247889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluating a Sentiment Analysis Tool to Detect Digital Transformation Stress 评估情感分析工具以检测数字化转型压力

Proceedings. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Pub Date : 2021-12-14 DOI: 10.1145/3486622.3494024

Ewa Makowska-Tlomak, R. Nielek, Kinga H. Skorupska, Julia Paluch, Wiesław Kopeć

{"title":"Evaluating a Sentiment Analysis Tool to Detect Digital Transformation Stress","authors":"Ewa Makowska-Tlomak, R. Nielek, Kinga H. Skorupska, Julia Paluch, Wiesław Kopeć","doi":"10.1145/3486622.3494024","DOIUrl":"https://doi.org/10.1145/3486622.3494024","url":null,"abstract":"Digital transformation (DT) is the process of transformation of the business world with the use of information and communication technology (ICT) solutions. It not only has a large impact on organizations – their competitiveness and performance, but also on employee well-being and their stress levels. To measure the stress associated with such digital changes we used the concept of Digital Transformation Stress (DTS), and its verified psychometric survey-based tools. In this study we proposed and verified an alternative, automatic tool to measure DTS based on sentiment analysis of help desk ticket data set. First, we conducted sentiment analysis (SA) of help desk tickets of an international financial company to estimate how employees’ stress could manifest in official written communication. We identified negative emotions markers and analysed the relationships between the ticket registration frequency and negative emotion markers. Our interdisciplinary research confirmed that there is high and positive correlation between the stress measurement results based on the established psychometric survey and sentiment analysis results of help desk ticket data set. We conclude that the novel tool we proposed allows for continuous monitoring of DTS among employees in any organization, without psychometric surveys. It is an attractive alternative to lengthy questionnaires, as it makes better use of employees’ time while continuously monitoring stress levels to evaluate at any time if an intervention, such as training, tool upgrade or any other support is needed to safeguard employee’s job satisfaction and their well-being.","PeriodicalId":89230,"journal":{"name":"Proceedings. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83704505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Medication Recommendation Based on a Knowledge-enhanced Pre-training Model 基于知识增强预训练模型的药物推荐

Proceedings. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Pub Date : 2021-12-14 DOI: 10.1145/3498851.3498968

Mengzhen Wang, Jianhui Chen, Shaofu Lin

引用次数: 4

Session details: Chapter 4: NLPOE2021: 14th Natural Language Processing and Ontology Engineering 第4章:NLPOE2021:第14届自然语言处理和本体工程

Proceedings. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Pub Date : 2021-12-14 DOI: 10.1145/3530277

引用次数: 0

Prediction of Nikkei VI increase for reducing investment risk using Yahoo! JAPAN stock BBS 利用雅虎预测日经指数提高降低投资风险日本股票论坛

Proceedings. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Pub Date : 2021-12-14 DOI: 10.1145/3498851.3498940

Kentaro Ueda, Kodai Sasaki, H. Suwa, Yuki Ogawa, Eiichi Umehara, Tatsuo Yamashita, K. Tsubouchi, K. Yasumoto

引用次数: 0

Mobile Crowdsensing with Imagery Tasks 移动众传感与图像任务

Proceedings. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Pub Date : 2021-12-14 DOI: 10.1145/3498851.3498929

Justas Dautaras, M. Matskin

{"title":"Mobile Crowdsensing with Imagery Tasks","authors":"Justas Dautaras, M. Matskin","doi":"10.1145/3498851.3498929","DOIUrl":"https://doi.org/10.1145/3498851.3498929","url":null,"abstract":"The amount of gadgets connected to the internet has grown rapidly in the recent years. These human owned devices can potentially be used to gather sensor data without active involvement of their owners. One of the types of platforms that contribute to the utilisation of these devices are mobile crowdsensing systems. These systems can be used for different tasks including different types of community support. While these systems are quite widely used, yet little research has been done for integration of imagery data into them which require also human involvement. This paper considers a mobile crowdsensing system where gathering data from sensors is supported by crowdsourcing human intelligence for providing both textual and visual information. We also explore the best settings for such a system. Imagery processing is integrated into an already existing mobile crowdsensing platform CrowdS. The solution was evaluated both by a limited number of real life users and by conducting simulations. The simulations represent complex scenarios with multi-level variables. The results of simulation allow suggest an efficient configuration for the parameters and characteristics of the environment used in imagery integration.","PeriodicalId":89230,"journal":{"name":"Proceedings. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74287594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Framework for Internet Connectivity Risk Assessment Based on Graph Models 基于图模型的互联网连接风险评估框架

Proceedings. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Pub Date : 2021-12-14 DOI: 10.1145/3486622.3493980

Tatiana Ermakova, Benjamin Fabian, David Alexander Fradin, Sebastian Gross

引用次数: 1

Evaluation index system and methodology for actively responding to ageing population 积极应对人口老龄化的评价指标体系与方法

Proceedings. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Pub Date : 2021-12-14 DOI: 10.1145/3498851.3499005

Si-bo Yang, Ai-hua Li, Guijun Li

{"title":"Evaluation index system and methodology for actively responding to ageing population","authors":"Si-bo Yang, Ai-hua Li, Guijun Li","doi":"10.1145/3498851.3499005","DOIUrl":"https://doi.org/10.1145/3498851.3499005","url":null,"abstract":"Ageing population is a challenge faced by the global community. According to international standards for measuring ageing society, China has entered the ageing society since 2000. Currently, actively responding to ageing population has become one of China's national strategies. Increasingly, actively responding to ageing population is gaining greater attention, but there lacks a comprehensive evaluation index system and model. Based on China's real situations, we scientifically and comprehensively construct an evaluation index system for actively responding to ageing population, using source statistical surveys, social tracking surveys and other multi-source heterogeneous data. Best-Worst Method (BWM) and K-means clustering algorithm are used here to evaluate ageing population measuring nationwide with a scientific and comprehensive index system. This paper also analyses and evaluates the measurement taken by 31 districts in China, thus carrying both theoretical and practical implications. With the emergence of big data for government administration, the rigor of the evaluation outcome will enhance.","PeriodicalId":89230,"journal":{"name":"Proceedings. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82171096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

SCAN:Syntactic Knowledge and Commonsense Knowledge Adapter Based Network for Aspect-level Sentiment Classification 基于句法知识和常识知识适配器的面向方面级情感分类网络

Proceedings. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Pub Date : 2021-12-14 DOI: 10.1145/3498851.3498985

Guojun Lu, Haibo Yu, Yun Xue, Zhixun Qiu, Weiyu Zhong

引用次数: 1