• 安装simtext库

pip install simtext

• 上文本相似性计算代码

from simtext import similaritytextA = '批量爬取网页，需要根据网页之间URL的规律，利用Python格式化输出的format用法，来构造每页的URL。下面以豆瓣小说的URL为例，来展示批量爬取网页URL的构建'textB = '批量爬取网页，我们应该根据网页之间URL的规律，利用Python格式化输出的format用法，来构造每页的URL。我们以豆瓣小说的URL为例，来构建批量爬取网页的URL'sim = similarity()resp = sim.compute(textA, textB)print(resp)

• 上Jupyter Notebook返回结果
• {'Sim_Cosine': 0.9232476577353843, 'Sim_Jaccard': 0.7916666666666666, 'Sim_MinEdit': 8, 'Sim_Simple': 0.9935404267673101}
• 文本相似性指标含义
• Sim_Cosine： Cosine相似性
• Sim_Jaccard： Jaccard相似性
• Sim_MinEdit： 最小编辑距离
• Sim_Simple： MicroSoft Office Word中的track changes

• 文本相似性指标测度方法
• Lauren, Malloy, and Nguyen (2018). Lazy prices. NBER Working Paper No. 25084.

Abstract: Using the complete history of regular quarterly and annual filings by U.S. corporations from 1995-2014, we show that when firms make an active change in their reporting practices, this conveys an important signal about future firm operations. Changes to the language and construction of financial reports also have strong implications for firms’ future returns: a portfolio that shorts “changers” and buys “non-changers” earns up to 188 basis points in monthly alphas (over 22% per year) in the future. Changes in language referring to the executive (CEO and CFO) team, regarding litigation, or in the risk factor section of the documents are especially informative for future returns. We show that changes to the 10-Ks predict future earnings, profitability, future news announcements, and even future firm-level bankruptcies; meanwhile firms that do not make changes experience positive abnormal returns. Unlike typical underreaction patterns in asset prices, we find no announcement effect associated with these changes–with returns only accruing when the information is later revealed through news, events, or earnings–suggesting that investors are inattentive to these simple changes across the universe of public firms.