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所在平台: Udemy |
课程主页: https://www.udemy.com/course/nlp-boot-camp-hands-on-text-mining-in-python-using-textblob/
课程评论：没有评论
课程名称：NLP训练营：使用TextBlob的Python文本挖掘实践 课程概述： 在本课程中，您将学习文本挖掘、情感分析、标记化、名词短语提取、N-gram等基本知识。课程适合初学者，假设学员没有机器学习、人工智能和自然语言处理的知识，因此讲解将非常通俗易懂。课程内容从标记化、词性标注、名词短语提取、情感分析、拼写检查、词形变化、词和名词短语频率，以及N-gram等基本概念开始，逐步深入到中级内容，您将学习如何开发自己的文本分类系统，包括朴素贝叶斯分类器的创建、模型训练和测试。 在高级部分，将讲解模型准确性，并再次介绍标记器、情感分析器、词性标注器和名词短语提取器。所有项目都将使用TextBlob这一易于使用的Python自然语言处理库。本课程设计旨在使您在完成后能够轻松学习其他高级自然语言处理库，如NLTK、TensorFlow和Keras等。
In NLP Boot-camp: Hands-on Text mining in Python using TextBlob for Beginners course, you will learn Text Mining, Sentiment Analysis, Tokenization, Noun Phrase Extraction, N-grams, and so many new things. I will start from a very basic level where I will assume that everyone is an absolute beginner, having no knowledge regarding Machine Learning, Artificial Intelligence, and Natural Language Processing. So, I will be explaining everything in a very easy manner. I will start with Tokenization, Parts-of-speech tagging, Noun Phrase Extraction, Sentiment Analysis, Spell Checking, Words Inflection, Lemmatization, Spell Checking, Words, and Noun Phrase Frequency, and N-grams. Then, I will jump to the intermediate level where I will explain how to develop your own Text Classification System and I will explain what is Naive Bayes Classifier, how to create a model, its training and testing. In the advanced/ final level, I will explain Model Accuracy, then I will again explain about Tokenizer, Sentiment Analyzer, Parts-of-speech Tagger, and Noun Phrase Extractor. For all these projects, I will use one of the easiest Python libraries for Natural Language Processing and that is TextBlob. This NLP Boot-camp: Hands-on Text mining in Python using TextBlob for Beginners course is designed in such a way that after this course, learning other advanced Natural Language Processing Libraries like NLTK, Tensor-Flow, and Keras, etc will be no more difficult for you.
