Applied Text Analysis with Python

This edition of Applied Text Analysis with Python has approximately 332 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

For most readers, Applied Text Analysis with Python typically takes between 6h 55m and 4h 37m to complete. This is based on the book's length of approximately 83,000 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 32m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 12 days • Estimated word count: 83,000 words

Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.

The estimated word count for Applied Text Analysis with Python is approximately 83,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.

This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.

Applied Text Analysis with Python was written by Benjamin Bengfort, Rebecca Bilbro, Tony Ojeda.

The publication date for this specific edition is Jul 01, 2018. The original work may have been published on a different date.