This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling).
Этот курс входит в специализацию ''Специализация Прикладная наука о данных с Python'
Об этом курсе
Чему вы научитесь
Understand how text is handled in Python
Apply basic natural language processing methods
Write code that groups documents by topic
Describe the nltk framework for manipulating text
Приобретаемые навыки
- Natural Language Toolkit (NLTK)
- Text Mining
- Python Programming
- Natural Language Processing
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Программа курса: что вы изучите
Module 1: Working with Text in Python
Module 2: Basic Natural Language Processing
Module 3: Classification of Text
Module 4: Topic Modeling
Рецензии
- 5 stars54,98 %
- 4 stars25,14 %
- 3 stars12,05 %
- 2 stars4,36 %
- 1 star3,45 %
Лучшие отзывы о курсе APPLIED TEXT MINING IN PYTHON
Passionate instructor and a great primer on how software can infer useful data from text. Gives a preliminary understanding on the algorithms used in scikit learn and nltk.
Course is well explained with practice exercise. Only suggestion is that for assignment there is no way to find why a particular output is wrong. There should be some hint for it.
Excellent course to get started with text mining and NLP with Python. The course goes over the most essential elements involved with dealing with free text. Definitely worth the time I spent on it.
Nice experience..Thanks to Resp.Professor for clear the concepts so deeply and enhancing the knowledge in right path..Niceever and helpful course..Thanks to team & university..
Специализация Прикладная наука о данных с Python: общие сведения

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