{"title":"Image Perception of Guilin Tourist Destination Based on Web Text Analysis","authors":"Xinchen Lu, Qiang Zhang","doi":"10.4108/eai.17-6-2022.2322613","DOIUrl":"https://doi.org/10.4108/eai.17-6-2022.2322613","url":null,"abstract":": With the advent of the era of big data, collecting online travel notes to establish a text database can obtain the comprehensive perception image of tourists on tourist destinations, and provide new ideas for the research on image perception of urban tourist destinations. Tourist travel texts collected from Ctrip.com and Mafengwo are used as research samples. Based on the \"cognition-emotion\" model of tourist destination image perception, the high-frequency feature words of Guilin image perception are extracted by text analysis method. The results show that: (1) Yangshuo, Li River, and Yulong River are the basic cognitive images of tourists for Guilin’s tourism image. (2) Tourists are highly satisfied with tourism resources and tourism activities, and the evaluation is mainly based on neutral emotions. (3) The overall image perception is a landscape tourist attraction, the overall image perception is positive, and the overall positive perception accounts for a high proportion. (4) The travel notes semantic network diagram takes Guilin as the core, and Guilin-Yangshuo, Guilin-Lijiang, and Guilin-Yulonghe are closely related relation chains in the network diagram.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129795631","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}
{"title":"Analysis on the Image of China's Poverty Alleviation Stories Reported by American Mainstream Media Based on Big Data Critical Discourse Research from The Washington Post","authors":"Xinwei Song","doi":"10.4108/eai.17-6-2022.2322662","DOIUrl":"https://doi.org/10.4108/eai.17-6-2022.2322662","url":null,"abstract":"— The period from 2020 to 2021 is a crucial transition period for poverty alleviation stories. During this period, the image of China's poverty alleviation stories in the eyes of American mainstream media has immovability and change. This study uses big data and database technology to obtain the reports of The Washington Post on China's poverty alleviation stories, and uses the three-dimensional framework of CDA as a tool to carry out text analysis, discourse practice analysis and social practice analysis. The study found that the Washington Post's coverage of Poverty alleviation stories in 2020-2021 continued its preference for grammar, text structure, direct speech and indirect speech, and deepened its sentiment in vocabulary.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128459869","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}
{"title":"Research on the Relationship Between Business Process Input and Output Based on the Directed Graph","authors":"Guiyu Tian, Yang Xie, Li Liu","doi":"10.4108/eai.17-6-2022.2322605","DOIUrl":"https://doi.org/10.4108/eai.17-6-2022.2322605","url":null,"abstract":": Enterprise digital transformation needs to sort out a large number of business processes in order to achieve the goal of management value. According to the requirements of enterprise digital transformation, the value of business process needs to be identified in the process design stage, that is, the relationship between input and output of the business process needs to be analyzed. However, due to the poor performance and slow speed of the traditional business process input and output analysis method, it can’t meet the performance requirement. Based on this, this paper proposes an efficient business process input and output analysis method to facilitate the realization of digital transformation of enterprise management.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129881934","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}
{"title":"Analysis on the Digital Economic of the Third-Generation Franchise","authors":"Mingxiao Zhao","doi":"10.4108/eai.17-6-2022.2322646","DOIUrl":"https://doi.org/10.4108/eai.17-6-2022.2322646","url":null,"abstract":": The success of big data plus cloud computing in the Internet economy has brought great challenges to traditional businesses. The franchise model makes use of in-depth consumption data mining and the calculation value of big data to form a flow and business closed-loop of franchise activity. When the loop iterates to the stage of “digital franchise”, it is conducive to effectively realize the unification of standard and individuality, scale and efficiency, development and quality, and flow and precision of franchise.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123847523","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}
J. Xu, Zong-Shin Liu, Ying-Qi Xu, Jinpeng Hao, Jiaming Sun, Yunrui Lu, Bowen Pang
{"title":"Research on Precise Demand Prediction of New Retail Target Product Based on Dual Model","authors":"J. Xu, Zong-Shin Liu, Ying-Qi Xu, Jinpeng Hao, Jiaming Sun, Yunrui Lu, Bowen Pang","doi":"10.4108/eai.17-6-2022.2322736","DOIUrl":"https://doi.org/10.4108/eai.17-6-2022.2322736","url":null,"abstract":": In this study, the target data set is firstly obtained by data processing, and then the Grey Verhulst model and ARIMA model are respectively used for modeling and prediction research on the target data set, so as to calculate the predicted value. Then MAPE (average absolute percentage error) is calculated according to the predicted value. The typical characteristics and adaptability of Grey Verhulst model and ARIMA model are compared and analyzed. This study shows that the ARIMA model is more accurate than the Grey Verhulst model in the short term, and its prediction accuracy decreases sharply with the extension of time, which is suitable for the short term prediction. The accuracy of Grey Verhulst model is relatively stable, and the accuracy is improved with the extension of time, which is suitable for medium and long term prediction.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123867518","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}
{"title":"Digital Economy Development, Industrial Structure Upgrading and Carbon Emissions—A Case Study of Beijing-Tianjin-Hebei","authors":"Jinxi Wu","doi":"10.4108/eai.17-6-2022.2322844","DOIUrl":"https://doi.org/10.4108/eai.17-6-2022.2322844","url":null,"abstract":"","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114619159","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}
{"title":"Strategies to \"Bitcoin-Gold\" Trading Decoupling the Qualitative Decision and the Quantitative Investment","authors":"Jingying Wei, Jiajun Chen, Zhanchaojieyi Zhou","doi":"10.4108/eai.17-6-2022.2322626","DOIUrl":"https://doi.org/10.4108/eai.17-6-2022.2322626","url":null,"abstract":": As investment fever rises, investment strategy is a critical choice for investors. In this paper, based on the price data of gold and bitcoin from 9/11/2016 to 9/10/2021, the corresponding mathematical models are established by the LSTM, evaluation model, and single-objective optimization model in an attempt to obtain the optimal investment strategy. Firstly, the price is predicted by the LSTM model after data cleaning. The evaluation system is constructed from three perspectives: market trading intention, price stability and market environment trend. Based on the scores and thresholds of the evaluation system, the trading directions (buy, sell, hold) are obtained qualitatively. Then, based on the corrected predicted price, a single-objective optimization is established for maximizing total assets, obtaining the final investment strategy, where an initial $1,000 asset is able to reach a final total asset of $134,226 after five years. Secondly, we establish the evaluation system of investment strategies and establish three evaluation indexes of Sharpe Value, Max Drawdown, and Interest Rate in terms of both return and risk. We construct four new investment strategies with different types of investment product and model selection. Comparing the five investment strategies, we can find that our investment strategy has the highest Interest Rate, higher Sharpe Value, and smaller Max Drawdown compared with other investment strategies. Thirdly, we test the impact of transaction costs on the model and learn that the model is more sensitive to the change of bitcoin transaction costs and not sensitive to the change of gold transaction cost.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121801875","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}
{"title":"Analysis of Tourists’ Perception Based on LDA ——Take the Social Network Review of Chengdu-Chongqing Economic Circle as An Example","authors":"Ming Jin, Yuqing Zhu","doi":"10.4108/eai.17-6-2022.2322669","DOIUrl":"https://doi.org/10.4108/eai.17-6-2022.2322669","url":null,"abstract":": The popularity and application of the Internet has promoted the rise of various online social platforms and driven the people to share their lives through online social platforms. “Comment” has gradually become a common way for modern people to express their views and feelings. In order to deeply understand tourists’ travel perception, this paper takes social network comments as the research object, and analyzes tourists' travel perception by using LDA by crawling the text comments on Chengdu-Chongqing economic circle in Sina Microblog. The research is conducted from two perspectives of positive and negative emotions on tourists’ perceptions of scenic spots. The results show that at present, the positive perception of tourists in Chengdu-Chongqing economic circle is mainly concentrated in daily life and urban construction, while the negative perception is mainly concentrated in traffic development and scenic spot construction.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127595784","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}
{"title":"Research on the Relationship Between Tourism Economic Growth and Urban-Rural Income Gap Using Mathematical Models","authors":"Conggang Lv, Shufang Xia, Xuting Zhang","doi":"10.4108/eai.17-6-2022.2322641","DOIUrl":"https://doi.org/10.4108/eai.17-6-2022.2322641","url":null,"abstract":": China's tourism economy has developed rapidly in recent years. Due to the growth of social economy, people's living conditions have improved, and they have sufficient material conditions to travel to meet the needs of spiritual civilization. Under this premise, China's tourism economy has developed rapidly. In order to study the factors that promote the development of China's tourism economy and promote the development of China's economy as a whole, this study conducts an empirical study on the relationship between tourism economic growth and urban-rural income gap. This study selects China's economic data from 1994 to 2016, establishes a vector autoregression model, and uses the methods of ensemble analysis and Granger causality test to conduct an in-depth study of the relationship between China's tourism economic growth and urban-rural income gap. analyze. At the end of this study, some suggestions are put forward for the development of tourism economy. This study can provide substantial reference for promoting the development of tourism economy.","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126225233","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}
{"title":"Risk Identification and Evaluation of Large-Scale Sports Events Based on Standard Electronic Modules","authors":"Hualan Li","doi":"10.4108/eai.17-6-2022.2322830","DOIUrl":"https://doi.org/10.4108/eai.17-6-2022.2322830","url":null,"abstract":"","PeriodicalId":156653,"journal":{"name":"Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115900568","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}