作者：禅与计算机程序设计艺术
1.简介
Chatbots are becoming increasingly popular as they provide an efficient way of communicating with users by taking their queries and providing answers from pre-defined responses or recommendations based on user behavior and preferences. They can also help save time and effort for people by automating tasks that otherwise require human intervention. However, building effective chatbots requires knowledge of natural language processing (NLP) techniques such as tokenization, stemming, part-of-speech tagging, sentiment analysis, and named entity recognition. In this article, we will demonstrate how to build a simple yet powerful chatbot using the NLTK library in Python. This tool is widely used across academia and industry for various NLP applications like text classification, information extraction, machine translation, and speech recognition. 文章来源：https://www.toymoban.com/news/detail-739695.html
This tutorial assumes that the reader has basic familiarity with Python programmi文章来源地址https://www.toymoban.com/news/detail-739695.html
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