如何在给定的文本中识别想法和概念 [英] How to identify ideas and concepts in a given text

问题描述

目前我正在研究一个项目，当它能够检测文本正文中何时提到某个主题/想法时，这将非常有用.例如，如果文本包含:

I'm working on a project at the moment where it would be really useful to be able to detect when a certain topic/idea is mentioned in a body of text. For instance, if the text contained:

也许您能多告诉我一些有关琼斯先生的信息，那会有所帮助.如果我可以描述他的外表，甚至拍出更好的照片，那也会很有用?

能够检测到该人索要琼斯先生的照片真是太好了.我可以采取一种非常幼稚的方法，只是寻找照片"或照片"这个词，但是如果他们写这样的东西，这显然是不好的:

It'd be great to be able to detect that the person has asked for a photograph of Mr Jones. I could take a really naïve approach and just look for the word "photo" or "photograph", but this would obviously be no good if they wrote something like:

请不要给我发琼斯先生的照片.

有人知道从哪里开始吗?甚至有可能吗?

Does anyone know where to start with this? Is it even possible?

我已经研究过nltk之类的东西，但是我还没有找到一个人在做类似事情的例子，但仍不确定是否要进行这种分析.任何可以使我动手的帮助都将是很棒的.

I've looked into things like nltk, but I've yet to find an example of someone doing something similar and am still not entirely sure what this kind of analysis is called. Any help that can get me off the ground would be great.

谢谢！

推荐答案

目前可能对您有用的最好的事情是自动情感分析.例如，这用于判断客户评论是正面还是负面.我无法直接为您提供可用工具的指针，但这就是您想要的.

The best thing out there that might be useful to you is automatic sentiment analysis. This is used, for example, to judge whether, say, a customer review is positive or negative. I cannot give you direct pointers to available tools, but this is what you are looking for.

不过，我必须说，这是自然语言处理中的当前热门话题，而且我在会议上看到了许多论文.这绝对是一件很复杂的事情，如果您是从头开始，那么可能要花一些时间才能获得想要的结果.

I must say, though, that this is a current hot topic in natural language processing and I’ve seen a number of papers at conferences. It’s definitely quite a complex matter and if you’re starting from scratch, it might take quite some time before you get the results that you want.

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