如何最好地存储聊天机器人的数据？ [英] How best to store data for a chatbot?

问题描述

我在互联网上寻找聊天机器人。真有趣。但是现在，我非常喜欢这个主题，以至于我想开发自己的聊天机器人。

但第一件事是寻找一种管理聊天机器人大脑的好方法。我认为这是将所有内容保存在XML文件中的最佳解决方案，不是吗？

因此文件类型很明确。涉及不同名词之间的关系。当我有一个名词时，例如一颗树。如何最好地保存一棵树上有叶子，树枝和根的东西。树木需要水和阳光才能生存吗？

是否应该像这样保存它？

I was looking on the internet for chatbots. It was only fun. But now, I love this subject so much that I want to develop my own chatbot.
But the first thing is to look for a good way to manage the "brain" of my chatbot. I think that it's the best solution to save everything in a XML file, isn't it?
So the file type is clear. Comes to the relationship between different nouns etc. When I have a noun, e.g. a tree. How do I save best that a tree has leaves, branches and roots. And that a tree needs water and sunlight to survive?
Should I save it like that or otherwise?

这将是我的XML tree -示例：

This would be my XML for this tree-example:

<nouns>
    <noun id="noun_0">
        <name>tree</name>
        <relationship>
            <has>noun_1</has>
            <has>noun_2</has>
            <has>noun_3</has>
            <need>noun_4</need>
            <need>noun_5</need>
        </relationship>
    </noun>
    <noun id="noun_1">
        <name>root</name>
    </noun>
    <noun id="noun_2">
        <name>branch</name>
        <relationship>
            <has>noun_3</has>
        </relationship>
    </noun>
    <noun id="noun_3">
        <name>leaf</name>
    </noun>
    <noun id="noun_4">
        <name>water</name>
    </noun>
    <noun id="noun_5">
        <name>light</name>
    </noun>

    . . .

</nouns>

推荐答案

数据存储选择： It取决于

Data Storage Choices: It Depends

简单的非学习型机器人：XML很好

看起来您已经有了一个基本的XML结构。对于刚起步的人来说，这很好，特别是对于AI支持聊天机器人（如果userMsg.contains（'lega'）然后print（'TOS& ...... ）。

It looks like you already have a basic XML structure worked out. For just starting out, I'd say that's fine, especially for AI support-chat kind of bots (if userMsg.contains('lega') then print('TOS & Copyright...').

当然，切换到任何新格式都会花费时间和开销。

Of course, switching to any new format will take time and overhead.

学习中的复杂机器人：数据库！

如果您想做更大的事情，特别是如果您有 CleverBot ，我认为您将需要一个数据库。这是因为当您的文件..是文件且巨大且

If you're looking to do something much larger, especially if you have CleverBot in mind, I think you're going to need a database. This is because when your file .. is a file and is gigantic and trying to keep it all available in memory is resource intensive. For this kind of project, I'd recommend a database.

为什么英语很复杂 strong>

前一段时间，我写了一个nieve贝叶斯垃圾邮件分类器，大约10,000条垃圾邮件以7％的准确率训练了该邮件， 6小时和1.5GB的RAM可以将数据保存在内存中。 。英语非常难，如果 pony然后 saddle 的话，它就不能真正地分为，因此对于一个要学习最佳响应的机器人来说，您的数据库将变得庞大而迅速。

A while back I wrote a nieve bayes spam sorter. It took about 10,000 pieces of spam to "train" it at a 7% accuracy rate, which took about 6 hours and 1.5GB of RAM to hold the data in memory. That's a lot of data. English is very hard and can't really be broken into if 'pony' then 'saddle', so for a bot to "learn" the best responses, your database is going to become massive and very quickly.

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