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所在平台: Udemy |
课程主页: https://www.udemy.com/course/natural-language-processing-fundamentals/
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课程名称：自然语言处理基础 概述：如果自然语言处理（NLP）并不是你的强项，自然语言处理基础课程将确保你走上稳步前行的道路。这本全面的指南将教你如何有效地使用Python库和NLP概念来解决各种问题。课程通过实例和练习来介绍自然语言处理及其应用，随后将介绍解决问题的初始阶段，包括问题定义、获取文本数据以及为建模准备数据。在接触到高级自然语言处理算法和可视化技术的基础上，你将学习如何创建能够从非结构化数据中提取信息并以有影响力的视觉效果呈现的应用程序。尽管你将继续学习基于NLP的技术，但重点将逐渐转向开发有用的应用程序。在这些部分中，你将了解如何应用NLP技术来回答问题，这些技术可用于聊天机器人。到课程结束时，你将能够完成各种任务，从识别最合适的NLP任务类型以解决问题到使用工具如spacy或gensim进行情感分析。该课程将轻松装备你所需的知识，以构建能够解读人类语言的应用程序。 关于作者： 德怀特·甘宁（Dwight Gunning）是美国金融业监管局（FINRA）的数据科学家，拥有丰富的基于Python的机器学习经验，并且对NLTK、gensim以及spacy等流行的NLP工具有深入实践经验。 索霍姆·戈什（Sohom Ghosh）是一位充满热情的数据侦探，擅长自然语言处理，并在多个国际会议和期刊上发表过论文。 安东尼·吴（Anthony Ng）在教育界工作近10年，讲授算法交易、金融数据分析、投资和投资组合管理等主题，曾在多家金融机构工作，并自2016年以来协助Quantopian在新加坡举行算法交易研讨会。他在2016和2017年的QuantCon新加坡会议上发言，对金融、数据科学和Python充满热情，热爱研究、教学和知识分享，拥有新加坡国立大学金融工程硕士学位，以及奥塔哥大学的MBA和商业学士学位。
If NLP hasn't been your forte, Natural Language Processing Fundamentals will make sure you set off to a steady start. This comprehensive guide will show you how to effectively use Python libraries and NLP concepts to solve various problems.You'll be introduced to natural language processing and its applications through examples and exercises. This will be followed by an introduction to the initial stages of solving a problem, which includes problem definition, getting text data, and preparing it for modeling. With exposure to concepts like advanced natural language processing algorithms and visualization techniques, you'll learn how to create applications that can extract information from unstructured data and present it as impactful visuals. Although you will continue to learn NLP-based techniques, the focus will gradually shift to developing useful applications. In these sections, you'll understand how to apply NLP techniques to answer questions as can be used in chatbots. By the end of this course, you'll be able to accomplish a varied range of assignments ranging from identifying the most suitable type of NLP task for solving a problem to using a tool like spacy or gensim for performing sentiment analysis. The course will easily equip you with the knowledge you need to build applications that interpret human language.About the AuthorDwight Gunning is a data scientist at FINRA, a financial services regulator in the US. He has extensive experience in Python-based machine learning and hands-on experience with the most popular NLP tools such as NLTK, gensim, and spacy.Sohom Ghosh is a passionate data detective with expertise in Natural Language Processing. He has publications in several international conferences and journals.Anthony Ng has spent almost 10 years in the education sector covering topics such as algorithmic trading, financial data analytics, investment, and portfolio management and more. He has worked in various financial institutions and has assisted Quantopian to conduct Algorithmic Trading Workshops in Singapore since 2016. He has also presented in QuantCon Singapore 2016 and 2017. He is passionate about finance, data science and Python and enjoys researching, teaching and sharing knowledge. He holds a Master of Science in Financial Engineering from NUS Singapore and MBA and Bcom from Otago University.
