用户生成内容的文本分析:说唱歌词挑战

Alessandro Maisto, Serena Pelosi, R. Guarasci, Pierluigi Vitale
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引用次数: 1

摘要

本研究提出了一种混合方法,将用户生成内容作为语料库,通过结合语言、统计和语义数据来创建多层次的资源。我们创建的工具克服了领域资源的缺乏,并提供了近年来最重要的文化和语言现象之一的远程阅读。我们利用Web挖掘、计算语言学和信息设计的技术,旨在使大量极其稀疏的数据更易于访问和理解。
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Text Analysis on User Generated Content: The Rap Lyrics Challenge
This research proposes a hybrid approach that uses User Generated Contents as a corpus in order to create a multi-level resource, by combining linguistic, statistics and semantic data. The tool we create overcomes the lack of domain resources and provides a distant reading of one of the most significant cultural and linguistic phenomenon in recent years. We take advantage of techniques from Web Mining, Computational Linguistics and Information Design with the aim to make a large amount of extremely sparse data more accessible and understandable.
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