基于社交网络图片元数据分析的旅游目的地形象测量研究

发布时间：2018-06-24 18:38

本文选题：图片 + 元数据　；参考：《北京第二外国语学院》2017年硕士论文

【摘要】：随着时代的进步和发展,旅游作为一种休闲方式融入人们的日常生活,摄影活动是游客获得旅游体验并进行信息传播的主要方式。随着互联网技术的快速发展,传统的拍照的方式从根本上发生了改变,用户可以通过拍摄设备进行照片的分享和互动,将筛选或加工过的照片上传到各种在线共享服务网站,社交网络图片成为旅游目的地形象传播的主要渠道之一。随着多媒体数据的增多,海量的网络数据为科学研究提供了更加丰富的样本,通过获取网络数据,对网络文本进行分析成为新兴的研究渠道。在旅游目的地的形象测量中,传统的测量方法仍然占据主要地位,结构性测量及非结构性测量无法在图片测量中提供准确的测量指标。传统基于图片的旅游目的地形象研究主要通过雇佣拍照法获取研究样本,图片的测量内容的分类仍以人工识别与编码为主,并且现有的相关研究较少,无法以海量网络图片为样本快速、有效、准确的进行数据的处理及目的地形象的提取。针对以上问题本研究以认知心理学及形象结构理论为指导构建了基于图片元数据的旅游目的地形象测量框架,并采用Flickr上的图片元数据为样本提取了北京旅游目的地形象。主要依据图片元数据的中名词相关词汇进行了认知形象的提取,形容词相关词汇进行了情感形象的提取,此外对部分抽样图片内容进行了情态的分析,加之其他可用元数据获取了北京的整体旅游目的地形象。研究过程运用人工与计算机技术相结合的手段,在数据提取、筛选等方面运用大数据分析方法,力求使测量结果更加客观,使此测量方法具有可信性、可操作性及简便性。最终,为基于图片的旅游目的地形象分析提供了一个新的研究角度,进一步扩宽了旅游目的地形象测量路径,为今后的相关研究提供了参考。
[Abstract]:With the progress and development of the times, tourism, as a leisure way, is integrated into people's daily life. Photography is the main way for tourists to get tourism experience and spread information. With the rapid development of Internet technology, the traditional way of taking photos has fundamentally changed. Users can share and interact with each other through shooting devices, upload filtered or processed photos to various online sharing service websites. Social network pictures become one of the main channels of image transmission of tourist destination. With the increase of multimedia data, massive network data provide more abundant samples for scientific research. Through obtaining network data, analyzing network text has become a new research channel. In the image measurement of tourist destination, the traditional measurement method still occupies the main position, the structural measurement and the non-structural measurement can not provide the accurate measurement index in the picture measurement. Traditional picture-based tourism destination image research mainly through employment photography method to obtain research samples, image measurement content classification is still based on manual identification and coding, and the existing research is less relevant. Can not take the massive network picture as the sample fast, effective, accurate carries on the data processing and the destination image extraction. Based on the cognitive psychology and the theory of image structure, this study constructs a framework for image measurement of tourism destination based on image metadata, and extracts the image of Beijing tourism destination by using the image metadata of Flickr as the sample. Mainly according to the image metadata in the noun-related vocabulary for cognitive image extraction, adjective related words for emotional image extraction, in addition to part of the sample picture content of modal analysis, Combined with other available metadata to obtain the overall image of Beijing's tourism destination. In the course of research, the method of big data analysis is used in data extraction, screening and so on to make the measurement result more objective, which makes the method credible, operable and simple. Finally, it provides a new research angle for image analysis of tourist destination based on pictures, further broadens the measuring path of tourism destination image, and provides a reference for related research in the future.
【学位授予单位】：北京第二外国语学院
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F592.7

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