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The desirability of a corpus of online book responses

机译:在线读取响应语料库的可取性

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This position paper argues the need for a comprehensive corpus of online book responses. Responses to books (in traditional reviews, book blogs, on booksellers' sites, etc.) are important for understanding how readers understand literature and how literary works become popular. A sufficiently large, varied and representative corpus of online responses to books will facilitate research into these processes. This corpus should include context information about the responses and should remain open to additional material. Based on a pilot study for the creation of a corpus of Dutch online book response, the paper shows how linguistic tools can find differences in word usage between responses from various sites. They can also reveal response type by clustering responses based on usage of either words or their POS-tags, and can show the sentiments expressed in the responses. LSA-based similarity between book fragments and response may be able to reveal the book fragments that most affected readers. The paper argues that a corpus of book responses can be an important instrument for research into reading behavior, reader response, book reviewing and literary appreciation.
机译:这个职位论文认为需要全面的在线读取答复的语料库。对书籍的回应(在传统评论中,书籍博客,书籍商网站等)对于了解读者了解文学以及文学作品如何变得流行很重要。对书籍的足够大,各种各样的和代表性的在线响应语料库将促进研究这些过程。该语料库应包括有关响应的上下文信息,并应保持额外的材料。根据一项试验研究,用于创建荷兰在线账簿响应的语料库,该文件显示了语言工具如何在来自各个站点的响应之间的响应之间找到差异。它们还可以通过基于单词或其POS标签的使用来群集响应来揭示响应类型,并且可以显示在响应中表达的情绪。书籍碎片和响应之间的基于LSA的相似性可能能够揭示受影响最严重读者的书碎片。本文认为,书籍反应的语料可以是研究阅读行为,读者反应,书评和文学欣赏的重要仪器。

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