问题描述
哪种Microsoft认知服务（或Azure机器学习服务？）是最好和最简单的用于解决在文章中找到类似文章的问题。文章是一串文字。并假设我没有关于
文章的用户交互数据。
Microsoft认知服务中是否有任何可以解决此问题的内容-THE盒？我似乎无法使用Recommendations API，因为我没有交互/用户数据。
Which Microsoft Cognitive Services (or Azure Machine Learning services?) is best and simplest to use to solve the problem of finding similar articles given an article. An article is a string of text. And assuming I do not have user interaction data on the articles.
Are there anything in Microsoft Cognitive Services that can solve this problem out-of-the-box? It seems I cannot use the Recommendations API since I don't have interaction/user data.
亲切的问候，
Anthony Mak
Anthony Mak
推荐答案
看起来你想要一种方法来检查文本条目是否相似。您可以使用Text Analytics API从文档中提取关键短语......然后使用这些关键短语来评估这些文档之间的相似之处。 Text Analytics
API至少可用于解决您的方案。
It looks like you want a way to check if the text entries are similar. You could use the Text Analytics API to extract key phrases from your documents... and then use those key-phrases to evaluate similarities between those documents. The Text Analytics API may at a minimum be useful in solving your scenario.
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