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所在平台: Udemy |
课程主页: https://www.udemy.com/course/nlp_natural_language_processing_python_beginners/
课程评论：没有评论
课程总结：Python自然语言处理培训班 欢迎踏上自然语言处理（NLP）和文本挖掘的精彩之旅！本课程是一项风险-free的探索，享有30天的退款政策，旨在帮助您理解一些为科技巨头（如谷歌、亚马逊和微软）的文本数据操作奠定基础的核心概念。文本挖掘现已成为现代数据科学和分析的重要组成部分。随着技术的飞跃，机器理解单词和短语的能力已彻底改变了信息检索、翻译和文本分类等任务。 我们将从经典的NLP基础知识入手，逐步深入到更复杂的生成性AI工具（如ChatGPT）领域。课程内容涵盖从传统的统计方法到前沿的深度学习和神经网络的语言处理技术演变。通过将理论与实践相结合，您将掌握NLP的多个关键概念，包括： - 在Python中操作NLP的基本构建块——字符串 - 句子和文档的分词 - 词干提取和词形还原 - 使用文本训练机器学习模型 - 从句子中提取词性标记 - 从网页中提取文本数据 - 训练神经网络提取词嵌入 - 开发自己的情感分类器（情感分析） - 将句子表示为表格数据 本课程结束后，您将具备构建基本NLP应用程序的能力，并对大多数NLP算法的基本概念有深入的理解。这将为您更高级的NLP研究打开大门，同时提供对企业在推出NLP应用时所使用的策略和技术的理解。无论您是新手还是希望拓宽视野的专家，这里都欢迎您。我期待着与您共同踏上这段激动人心的NLP学习之旅！
Welcome aboard your inaugural voyage into the vibrant world of Natural Language Processing (NLP) and Text Mining! This course offers a risk-free foray (backed by a 30-day refund policy) into the fundamental concepts that serve as the bedrock for the text data operations of tech giants like Google, Amazon, and Microsoft.Text mining has become a cornerstone of modern Data Science and Analytics. The profound leap in technology that allows a machine to understand words and phrases has revolutionized tasks like Information Retrieval, Translation, and Text Classification. I'm here to help you navigate these waters and jump from the foundational aspects of classical NLP into the misterious realms of Generative AI Tools (such as ChatGPT).Our journey will take us from the classical to the neural, exploring the evolution of language processing techniques. We'll begin with traditional statistical methods and work our way up to the cutting-edge world of deep learning and neural networks. By linking theory with practical exercises, I hope to guide you through the NLP World.Don't fret if Python isn't your forte yet - included in this course is a crash course in Python that will acquaint you with the language and provide the necessary foundation for the rest of the topics we'll cover. The course will illuminate a variety of key NLP concepts including:Manipulating the basic building blocks of NLP - strings - in Python;Tokenizing Sentences and Documents;Stemming and Lemmatizing words;Training machine learning models using text;Extracting the Part-of-Speech Tag from words in a sentence;Extracting Text Data from a Web Page;Training a Neural Network to extract Word Embeddings;Developing your own sentiment classifier (Sentiment Analysis);Representing Sentences as Tabular Data;Upon completing this course, you'll be equipped with the skills to construct your own basic NLP applications, and you'll have a strong understanding of the fundamental concepts underlying most NLP algorithms. This knowledge will open doors to more advanced studies in NLP, while providing an understanding of the strategies and techniques utilized by companies when launching their NLP applications.Embark on this exhilarating journey through the world of NLP with me. Whether you're a newcomer or an expert seeking to broaden your horizons, there's a place for you here. I'm eagerly looking forward to our adventure together in the course!
