- Python 程式设计经验
聊天机器人是一种通过聊天界面自动模拟人类回应的电脑程式。聊天机器人帮助组织通过提供更简单和快速的用户互动选项来最大化其运营效率。
在这个以讲师为主导的现场培训中，参与者将学习如何在Python构建聊天机器人。
在培训结束时，参与者将能够：
- 了解构建聊天机器人的基础知识
- 使用Python构建、测试、部署和排除各种聊天机器人的故障
听众
- 开发人员
课程形式
- 部分讲授、部分讨论、练习和大量的实际操作
注意
- 如需为此课程定制培训，请联系我们安排。
聊天机器人简介
对话式软体概述
构建您的第一个基本聊天机器人
- 设置您的聊天机器人以接收文本并回应用户
- 添加基本的Element个性元素
- 教导您的聊天机器人回答基本问题
- 为您的聊天机器人添加多样化的回应
- 让您的聊天机器人提出问题
- 构建基于规则的系统以解析文本
使用Machine Learning将自然语言转换为聊天机器人的结构化数据
- SpaCy、Scikit-learn 和 Rasa NLU 概述
- 安装和配置 SpaCy、Scikit-learn 和 Rasa NLU
- 意图和实体及其分类
- 自然语言处理基础理论复习
- 使用 ATIS 数据集从真实句子中构建模型
构建您的虚拟助手聊天机器人
- 虚拟助手概述
- 在Python中使用SQL
- 教导您的聊天机器人从DatabaseAccess数据
- 从参数中编写查询
- 从自然语言构建Database
- 在您的聊天机器人上实现自定义虚拟助手功能
- 通过DatabaseAccess回答特定查询
- 精炼搜索、执行基本否定和过滤数据
使您的聊天机器人有状态：跟踪交互状态以获得更好的聊天机器人对话
- 执行基本操作
- 提出上下文问题并排队回答
- 处理拒绝
测试和部署您的聊天机器人
故障排除
总结和结论
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