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With the social networking and network socialisation have brought more text information and social relationships into our daily lives,the question of whether big data can be fully used to study the phenomenon and discipline of natural sciences has prompted manyspecialists and scholars to innovate their research. Though politics were integrally involved in the hyperlinked word issues since1990s, automatic assembly of different geospatial web and distributed geospatial information systems utilizing service chaining haveexplored and built recently, the information collection and data visualisation of geo-events have always faced the bottleneck oftraditional manual analysis because of the sensibility, complexity, relativity, timeliness and unexpected characteristics of politicalevents. Based on the framework of Heritrix and the analysis of web-based text, word frequency, sentiment tendency anddissemination path of the Huangyan Island incident is studied here by combining web crawler technology and the text analysismethod. The results indicate that tag cloud, frequency map, attitudes pie, individual mention ratios and dissemination flow graphbased on the data collection and processing not only highlight the subject and theme vocabularies of related topics but also certainissues and problems behind it. Being able to express the time-space relationship of text information and to disseminate theinformation regarding geo-events, the text analysis of network information based on focused web crawler technology can be a toolfor understanding the formation and diffusion of web-based public opinions in political events

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

Using Web Crawler Technology for Text Analysis of Geo-Events: A Case Study of the Huangyan Island Incident