How Long to Read Text Analytics with Python

How Long Does it Take to Read Text Analytics with Python?

It takes the average reader 11 hours and 50 minutes to read Text Analytics with Python by Dipanjan Sarkar

Assuming a reading speed of 250 words per minute. Learn more

Description

Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. This second edition has gone through a major revamp and introduces several significant changes and new topics based on the recent trends in NLP. You’ll see how to use the latest state-of-the-art frameworks in NLP, coupled with machine learning and deep learning models for supervised sentiment analysis powered by Python to solve actual case studies. Start by reviewing Python for NLP fundamentals on strings and text data and move on to engineering...

How long is Text Analytics with Python?

Text Analytics with Python by Dipanjan Sarkar is 688 pages long, and a total of 177,504 words.

This makes it 232% the length of the average book. It also has 217% more words than the average book.

How Long Does it Take to Read Text Analytics with Python Aloud?

The average oral reading speed is 183 words per minute. This means it takes 16 hours and 9 minutes to read Text Analytics with Python aloud.

What Reading Level is Text Analytics with Python?

Text Analytics with Python is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Text Analytics with Python?

Text Analytics with Python by Dipanjan Sarkar is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Text Analytics with Python by Dipanjan Sarkar on Amazon click the button below.