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所在平台: Udemy |
课程主页: https://www.udemy.com/course/nlp-building-your-own-chatbots-using-ai/
课程评论：没有评论
课程名称：NLP - 使用AI构建自己的聊天机器人 课程概述：欢迎参加本课程！该课程适合所有希望学习如何使用自然语言处理（NLP）方法构建聊天机器人的人。我们将涵盖NLP的基本原理以及聊天机器人创建如何应用这些原理。在课程中，您将获得实践经验，使用知名的NLP库和框架（如NLTK）创建自己的聊天机器人。您将学习如何使用意图、实体和操作来训练模型。此外，您还将了解不同类型的聊天机器人，包括基于规则、基于检索和生成的聊天机器人，以及如何评估聊天机器人。 聊天机器人是设计用于模拟与人类用户对话的计算机程序，尤其是在互联网上。它们可以集成到各种平台中，如网站、移动应用、消息应用等。聊天机器人通常用于客户服务、提供信息或自动化重复任务。 自然语言处理（NLP）是人工智能的一个子领域，专注于计算机与人类之间以自然语言的交互。它涉及使用计算机科学、人工智能和语言学的技术来处理、分析和生成自然语言。NLP任务包括语音识别、自然语言理解、情感分析、文本摘要、机器翻译等。NLP技术被广泛应用于聊天机器人、虚拟助手和语言翻译软件等多个领域。 课程内容： - 聊天机器人的基本原理 - 聊天机器人的类型：基于规则的和基于AI的 - 自然语言处理基础 - NLP技术：词干提取、词形还原、词袋模型、TF-IDF、余弦相似度 - 基于规则的聊天机器人实现 - NLP Wordnet的实现 - 集成NLP的聊天机器人实现 - 动态网页浏览聊天机器人的实现 项目： 1. 构建一个基于规则的聊天机器人 2. 构建一个基于NLP的聊天机器人 3. 构建一个动态网页浏览聊天机器人
Welcome! Anyone interested in learning how to build their own chatbots using natural language processing (NLP) methods should take this course. The fundamentals of NLP and how chatbot creation uses it will be covered.You will acquire practical experience during the course creating your own chatbot using well-known NLP libraries and frameworks like NLTK. You'll discover how to use intents, entities, and action to train your model.Additionally, you will discover the various varieties of chatbots, including rule-based, retrieval-based, and generative ones. You will also discover how chatbots are evaluated.A chatbot is a computer program designed to simulate conversation with human users, especially over the Internet. They can be integrated into various platforms such as websites, mobile apps, messaging apps, and more. They are commonly used for customer service, providing information, or automating repetitive tasks.Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and humans in natural language. It involves using techniques from computer science, artificial intelligence, and linguistics to process, analyze, and generate human language. NLP tasks include speech recognition, natural language understanding, sentiment analysis, text summarization, machine translation, and more. NLP techniques are used in many applications such as chatbots, virtual assistants, and language translation software.These are the contents of this courseFundamentals of ChatbotsTypes of chatbots - Rule based, AI basedFundamentals of NLPNLP Techniques - Stemming, Lemmatization, Bag of Words, TF-IDF, Cosine SimilarityRule based chatbots - ImplementationNLP Wordnet - ImplementationNLP Incorporated chatbots - ImplementationDynamic Web Surfing Chatbots - ImplementationProjects:1. Building a rule based chatbot2. Building an NLP based chatbot3. Building a dynamic web surfing chatbot
