基于带解析器的聊天机器人开发提高信息收集效率

M. Nazarkevych, P. Levush, Bohdan Pankovych
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引用次数: 1

摘要

该研究的重点是使用带有解析器的聊天机器人开发文本块中的信息检索。分析了在社会网络中提供信息交换的程序。其中包括一些流行的程序,如信使、Viber、Telegram、Snapchat和Skype。分析了它们的可能性和差异。为Telegram程序开发了一个具有信息解析功能的聊天机器人。构造了聊天机器人的业务流程图。开发了一个聊天机器人的架构,该聊天机器人可以搜索信息块,并具有通过关键字突出显示有用信息的功能。给出了词检索信息的方法和所编写的伪代码。我们已经开发了自己的信息搜索方法,这种方法基于通过关键字查找文本块,然后通过表达式进行细化。给出了大量的实验,显示了良好的搜索效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving the Efficiency of Information Collection Based on the Development of a Chatbot with a Parser
The study focuses on the development of information retrieval in text blocks using chatbots with a parser. Programs that provide information exchange in social networks are analyzed. These include such popular programs as messengers, Viber, Telegram, Snapchat, Skype. Their possibilities and differences are analyzed. A chatbot has been developed for the Telegram program with information parsing functions. The diagram of business processes for a chatbot is constructed. Developed the architecture of a chat bot that searches for blocks of information and has the function of highlighting useful information by keywords. The method of information retrieval by words and the pseudocode of the developed information retrieval program are given. We have developed our own method of searching for information, which is based on finding blocks of text by keywords, and then refining by expressions. Numerous experiments are given, which showed good search results.
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