基于社会化大数据的音乐文化研究进展

doi:10.11959/j.issn.2096-0271.2018048

摘要/Abstract

摘要：

随着互联网的普及和技术的发展，一系列在线音乐社区和社交网站陆续出现，为音乐研究提供了大量的社会化数据。结合新兴的大数据分析方法和人工智能手段，研究者在音乐文化研究方面取得了一系列进展，在音乐文化感知、音乐文化社会学、音乐文化传播学等方面建立了大量新的认知，体现了大数据方法在音乐文化研究方面的广泛适用性。阐述了基于社会化大数据的音乐文化研究的进展，并总结了这一领域研究面临的问题与挑战。

关键词: 音乐文化, 社会化大数据, 音乐文化感知, 音乐文化社会学, 音乐文化传播学

Abstract:

In recent years,along with the popularity of the Internet and the development of technology,the rise of a series of online music communities and social websites provide a large amount of social data for the research on music culture.By combining bigdata approach and artificial intelligence methods,researchers have made a series of advances in the studies of music culture,and established a lot of new knowledge in music cultural perception,music cultural sociology,the communication of music culture,and so on.It shows the wide potential applicability of big-data-based approaches in the research of music culture.The recent social-big-data-based studies on music culture were introduced briefly,and some open problems and challenges in this issue were summarized.

Key words: music culture, social big data, music cultural perception, music cultural sociology, communication of music culture

中图分类号:

耿屿, 韩筱璞, 吕琳媛. 基于社会化大数据的音乐文化研究进展[J]. 大数据, 2018, 4(5): 29-40.

Yu GENG, Xiaopu HAN, Linyuan LÜ. Progress of social-big-data-based studies of music culture[J]. Big Data Research, 2018, 4(5): 29-40.

图/表 3

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