Word power: A new approach for content analysis

Narasimhan Jegadeesh; Di Wu

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Word power: A new approach for content analysis

机译：文字能力：内容分析的新方法

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摘要

We present a new approach for content analysis to quantify document tone. We find a significant relation between our measure of the tone of 10-Ks and market reaction for both negative and positive words. We also find that the appropriate choice of term weighting in content analysis is at least as important as, and perhaps more important than, a complete and accurate compilation of the word list. Furthermore, we show that our approach circumvents the need to subjectively partition words into positive and negative word lists. Our approach reliably quantifies the tone of IPO prospectuses as well, and we find that the document score is negatively related to IPO underpricing.

机译：我们提出了一种用于内容分析的新方法来量化文档音调。我们发现我们对10-Ks音调的度量与否定词和肯定词的市场反应之间都存在显着的关系。我们还发现，在内容分析中，术语权重的适当选择至少与完整，准确地汇编单词表一样重要，甚至比其更重要。此外，我们证明了我们的方法避免了将主观单词划分为肯定和否定单词列表的需求。我们的方法还可以可靠地量化IPO招股说明书的基调，并且我们发现文档得分与IPO价格偏低负相关。

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来源
《Journal of financial economics》 |2013年第3期|712-729|共18页
作者
Narasimhan Jegadeesh; Di Wu;
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作者单位

Finance at the Goizueta Business School, Emory University and NBER, United States;

Finance at The Wharton School, University of Pennsylvania, United States;

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原文格式 PDF
正文语种 eng
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关键词
Content analysis; Lexicons; Term weighting;

机译：内容分析;词汇表;术语权重;

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7. Word Power: A New Approach for Content Analysis [O] . Jegadeesh, Narasimhan, Wu, Di 2013

机译：文字能力：内容分析的新方法

Word power: A new approach for content analysis

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