A web text mining approach for the evaluation of regional characteristics at the town level

[1]  Kening Wu,et al.  Manufacturing industry agglomeration and spatial clustering: Evidence from Hebei Province, China , 2019, Environment, Development and Sustainability.

[2]  Z. Ouyang,et al.  Risk forewarning of regional development sustainability based on a natural resources and environmental carrying index in China , 2017 .

[3]  Alan Wilson,et al.  Urban and regional planning , 1971 .

[4]  H. Varian,et al.  Predicting the Present with Google Trends , 2012 .

[5]  Jae Young Choi,et al.  Impact of the Smart City Industry on the Korean National Economy: Input-Output Analysis , 2016 .

[6]  H. Abida,et al.  Impact of climatic variation on infiltration rate under an arid climate: case of Northern Gafsa Watershed, Tunisia , 2019, Environment, Development and Sustainability.

[7]  Charu C. Aggarwal,et al.  Mining Text Data , 2012, Springer US.

[8]  Othmar W. Winkler Interpreting Economic and Social Data , 2009 .

[9]  Adesuwa Vanessa Agbedahin Sustainable development, Education for Sustainable Development, and the 2030 Agenda for Sustainable Development: Emergence, efficacy, eminence, and future , 2019, Sustainable Development.

[10]  V. S. Dhaka,et al.  Web Crawler: A Review , 2013 .

[11]  Jayantrao Bhaurao Patil,et al.  Web data mining trends and techniques , 2012, ICACCI '12.

[12]  Arne Isaksen,et al.  Regional clusters and competitiveness: The Norwegian case , 1997 .

[13]  Giuseppe Vittucci Marzetti,et al.  Estimating dynamic localization economies: the inadvertent success of the specialization index and the location quotient , 2018 .

[14]  M. Porter The Competitive Advantage Of Nations , 1990 .

[15]  Andrea De Montis,et al.  Accessibility and rurality indicators for regional development , 2015, Comput. Environ. Urban Syst..

[16]  Dirk Lewandowski,et al.  The freshness of web search engine databases , 2006, J. Inf. Sci..

[17]  J. Eom,et al.  Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Shared Socioeconomic Pathways , 2019, Earth's Future.

[18]  Shanshan Qi,et al.  Tracking the evolution of a destination's image by text-mining online reviews - the case of Macau , 2017 .

[19]  Hong Jiang,et al.  International competitiveness of Chinese textile and clothing industry – a diamond model approach , 2019, Journal of Chinese Economic and Foreign Trade Studies.

[20]  Jens Horbach,et al.  Do eco-innovations need specific regional characteristics? An econometric analysis for Germany , 2014 .

[21]  J. Bohannon Digital data. Google opens books to new cultural studies. , 2010, Science.

[22]  Nada Lavrac,et al.  TextFlows: A visual programming platform for text mining and natural language processing , 2016, Sci. Comput. Program..

[23]  Anthony Scime,et al.  Guest Editor's Introduction: Special Issue on Web Content Mining , 2004, Journal of Intelligence and Information Systems.

[24]  T. Chung,et al.  A Study on Logistics Cluster Competitiveness among Asia Main Countries using the Porter's Diamond Model , 2016 .

[25]  M. Mergenthaler,et al.  Success of urban farming’s city-adjustments and business models—Findings from a survey among farmers in Ruhr Metropolis, Germany , 2017 .

[26]  S. Anholt,et al.  The Anholt-GMI City Brands Index: How the world sees the world's cities , 2006 .

[27]  Onno Kuik,et al.  Competitive advantage in the renewable energy industry: Evidence from a gravity model , 2019, Renewable Energy.

[28]  Stephen E. Robertson,et al.  Understanding inverse document frequency: on theoretical arguments for IDF , 2004, J. Documentation.

[29]  Gloria V. Rupf,et al.  From goals to joules: A quantitative approach of interlinkages between energy and the Sustainable Development Goals , 2019, Energy Research & Social Science.

[30]  David M. Pennock,et al.  Predicting consumer behavior with Web search , 2010, Proceedings of the National Academy of Sciences.

[31]  D. Scott,et al.  An inter-comparison of the Holiday Climate Index (HCI) and the Tourism Climate Index (TCI) in Europe , 2016 .

[32]  W. Moon,et al.  Wine Industry Competitiveness: A survey of the Shawnee Hills American Viticultural Area , 2016 .

[33]  M. Batty The New Science of Cities , 2013 .

[34]  B. Jin,et al.  The diamond approach to the competitiveness of Korea's apparel industry , 2006 .

[35]  PingSun Leung,et al.  The normalized revealed comparative advantage index , 2009 .

[36]  Pengkun Yang,et al.  Utilization of text mining as a big data analysis tool for food science and nutrition. , 2020, Comprehensive reviews in food science and food safety.

[37]  Douglas P. Woodward Presidential Address: Industry Location, Economic Development Incentives, and Clusters , 2012 .

[38]  Yao Wang,et al.  Tourism destination image based on tourism user generated content on internet , 2020 .

[39]  Leonidas C. Leonidou,et al.  Resources and capabilities as drivers of hotel environmental marketing strategy: Implications for competitive advantage and performance , 2013 .

[40]  Erez Lieberman Aiden,et al.  Quantitative Analysis of Culture Using Millions of Digitized Books , 2010, Science.

[41]  Jianguo Liu,et al.  Assessing progress towards sustainable development over space and time , 2020, Nature.

[42]  Wang Yong-min Destination Image Perception of Fenghuang Ancient Town Based on Content Analysis of Travelers′Web Text , 2015 .

[43]  Dario Landa Silva,et al.  Term frequency with average term occurrences for textual information retrieval , 2016, Soft Comput..

[44]  Yunna Wu,et al.  Competitiveness analysis of coal industry in China: A diamond model study , 2017 .