Comparing Apple to Amazon: Just a Matter of Words in Machine Learning World

IF 1.6 Q3 BUSINESS, FINANCE Journal of Emerging Technologies in Accounting Pub Date : 2021-04-26 DOI:10.2308/jeta-2020-045
M. Shivaani
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Abstract

Comparative analysis commands special attention in financial analysis as it not only facilitates understanding of  year-on-year changes but also of trends in the performance and position of a company. It is often a go-to tool for competitor analysis. In this note, I illustrate the use of  R (software), its allied packages, and textual analysis algorithms to extend the use of comparative analysis to ‘unstructured’ information presented in the MD&A section of annual reports. For this use case, I consider two giant tech rivals, Apple and Amazon, and present a comparative analysis of their MD&A section using Cosine and Jaccard similarity measures. I also compare the most important words based on tf-idf and sentiments for each company and across the two companies. When supplemented with financial information, comparative analysis can offer novel insights for analysts, managers, researchers, and academics and is a valuable tool to include in accounting curricula.
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比较苹果和亚马逊:机器学习领域的文字问题
比较分析在财务分析中需要特别注意,因为它不仅有助于了解年度变化,而且有助于了解公司业绩和地位的趋势。它通常是竞争对手分析的首选工具。在本文中,我将说明如何使用R(软件)及其相关软件包和文本分析算法,将比较分析的使用扩展到年度报告的MD&A部分中呈现的“非结构化”信息。对于这个用例,我考虑了两大科技竞争对手,苹果和亚马逊,并使用余弦和Jaccard相似性度量对它们的MD&A部分进行了比较分析。我还比较了基于tf-idf和两家公司之间的情感的最重要的单词。当与财务信息相辅相成时,比较分析可以为分析师、管理人员、研究人员和学者提供新颖的见解,并且是会计课程中一个有价值的工具。
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来源期刊
CiteScore
4.30
自引率
27.80%
发文量
14
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