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Applied Text Analysis with Python
This summary is talking about the Book "Applied Text Analysis with Python".
This is a textbook chapter excerpt about applied text analysis using Python. It discusses building custom corpora, preprocessing text data, vectorizing text data for machine learning, and applying various machine learning models to text. The excerpt also addresses how to evaluate models, visualize the data, and scale text analytics workflows using multiprocessing and Apache Spark. The chapter concludes with an introduction to deep learning and its applications in natural language processing, such as sentiment analysis.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Applied-Text-Analysis-Python-Language-Aware/dp/1491963042?&linkCode=ll1&tag=cvthunderx-20&linkId=fc47a4685f82bbd05c28d73fb61a420f&language=en_US&ref_=as_li_ss_tl
This is a textbook chapter excerpt about applied text analysis using Python. It discusses building custom corpora, preprocessing text data, vectorizing text data for machine learning, and applying various machine learning models to text. The excerpt also addresses how to evaluate models, visualize the data, and scale text analytics workflows using multiprocessing and Apache Spark. The chapter concludes with an introduction to deep learning and its applications in natural language processing, such as sentiment analysis.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Applied-Text-Analysis-Python-Language-Aware/dp/1491963042?&linkCode=ll1&tag=cvthunderx-20&linkId=fc47a4685f82bbd05c28d73fb61a420f&language=en_US&ref_=as_li_ss_tl
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By CyberSecurity SummaryThis summary is talking about the Book "Applied Text Analysis with Python".
This is a textbook chapter excerpt about applied text analysis using Python. It discusses building custom corpora, preprocessing text data, vectorizing text data for machine learning, and applying various machine learning models to text. The excerpt also addresses how to evaluate models, visualize the data, and scale text analytics workflows using multiprocessing and Apache Spark. The chapter concludes with an introduction to deep learning and its applications in natural language processing, such as sentiment analysis.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Applied-Text-Analysis-Python-Language-Aware/dp/1491963042?&linkCode=ll1&tag=cvthunderx-20&linkId=fc47a4685f82bbd05c28d73fb61a420f&language=en_US&ref_=as_li_ss_tl
This is a textbook chapter excerpt about applied text analysis using Python. It discusses building custom corpora, preprocessing text data, vectorizing text data for machine learning, and applying various machine learning models to text. The excerpt also addresses how to evaluate models, visualize the data, and scale text analytics workflows using multiprocessing and Apache Spark. The chapter concludes with an introduction to deep learning and its applications in natural language processing, such as sentiment analysis.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Applied-Text-Analysis-Python-Language-Aware/dp/1491963042?&linkCode=ll1&tag=cvthunderx-20&linkId=fc47a4685f82bbd05c28d73fb61a420f&language=en_US&ref_=as_li_ss_tl