在中国由讲师进行实时指导的TextBlob本地培训课程。
客户评论
人间识别和电路板坏点检测
王 春柱 - 中移物联网
课程: Deep Learning for NLP (Natural Language Processing)
演示
中移物联网
课程: Deep Learning for NLP (Natural Language Processing)
About face area.
中移物联网
课程: Deep Learning for NLP (Natural Language Processing)
我确实喜欢这些练习。
Office for National Statistics
课程: Natural Language Processing with Python
Machine Translated
培训师很容易解释困难和高级话题。
Leszek K
课程: Artificial Intelligence Overview
Machine Translated
这是我用过的最好的动手编程课程之一。
Laura Kahn
课程: Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP
Machine Translated
这是我13年职业生涯中最优秀的在线培训之一。保持伟大的工作！
课程: Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP
Machine Translated
最后一天。生成部分
Accenture Inc
课程: Python for Natural Language Generation
Machine Translated
关于NLG的主题。该团队最终能够通过有趣的主题学习新的东西，但这只是在最后一天。除了幻灯片之外，还有更多的动手活动。
Accenture Inc
课程: Python for Natural Language Generation
Machine Translated
我喜欢它更侧重于不同文本摘要方法的方法
课程: Text Summarization with Python
Machine Translated
主题，演讲者友好的态度
Fujitsu Technology Solutions Sp. z o.o.
课程: Artificial Intelligence Overview
Machine Translated
这是我13年职业生涯中最优秀的在线培训之一。保持伟大的工作！
课程: Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP
Machine Translated
我喜欢它更侧重于不同文本摘要方法的方法
课程: Text Summarization with Python
Machine Translated
TextBlob课程大纲
课程名称
课程时长
课程概览
课程名称
课程时长
课程概览
14小时
This instructor-led, live training in 中国 (online or onsite) is aimed at data scientists and developers who wish to use TextBlob to implement and simplify NLP tasks, such as sentiment analysis, spelling corrections, text classification modeling, etc.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start implementing NLP tasks with TextBlob.
- Understand the features, architecture, and advantages of TextBlob.
- Learn how to build text classification systems using TextBlob.
- Perform common NLP tasks (Tokenization, WordNet, Sentiment analysis, Spelling correction, etc.)
- Execute advanced implementations with simple APIs and a few lines of codes.
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