是否存在确定文本与主题相关性的算法? [英] Is there an algorithm for determining the relevance of a text to a theme?

问题描述

我想知道什么可以用来确定页面与游戏，电影等主题的相关性.

I want to know what can be used to determine the relevance of a page for a theme like games, movies, etc.

在这方面有研究吗?还是只计算出一些相关单词出现了多少次?

Is there some research in this area or is there only counting how many times some relevant words appear?

推荐答案

常见的选择是对单词袋(或n-gram袋)功能进行监督文档分类，最好使用tf-idf加权.

The common choice is supervised document classification on bag of words (or bag of n-grams) features, preferably with tf-idf weighting.

受欢迎的算法包括朴素贝叶斯(Naive Bayes)和(线性)SVM.

Popular algorithms include Naive Bayes and (linear) SVMs.

对于这种方法，您需要标记的培训数据，即带有相关主题的文档.

For this approach, you'll need labeled training data, i.e. documents annotated with relevant themes.

例如，参见> 信息检索简介 ，第13-15章.

See, e.g., Introduction to Information Retrieval, chapters 13-15.

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