• 安裝simtext庫

pip install simtext

• 上文本相似性計算代碼

from simtext import similaritytextA = '批量爬取網頁，需要根據網頁之間URL的規律，利用Python格式化輸出的format用法，來構造每頁的URL。下面以豆瓣小說的URL為例，來展示批量爬取網頁URL的構建'textB = '批量爬取網頁，我們應該根據網頁之間URL的規律，利用Python格式化輸出的format用法，來構造每頁的URL。我們以豆瓣小說的URL為例，來構建批量爬取網頁的URL'sim = similarity()resp = sim.compute(textA, textB)print(resp)

• 上Jupyter Notebook返回結果
• {'Sim_Cosine': 0.9232476577353843, 'Sim_Jaccard': 0.7916666666666666, 'Sim_MinEdit': 8, 'Sim_Simple': 0.9935404267673101}
• 文本相似性指標含義
• Sim_Cosine： Cosine相似性
• Sim_Jaccard： Jaccard相似性
• Sim_MinEdit： 最小編輯距離
• Sim_Simple： MicroSoft Office Word中的track changes

• 文本相似性指標測度方法
• 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.

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