February 2021
Beginner to intermediate
478 pages
8h 38m
English
Content preview from Python Data Analysis - Third Edition
Analyzing Textual Data
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
In the age of information, data is produced at incredible speeds and volumes. The data produced is not only structured or tabular types, it can also be in a variety of unstructured types such as textual data, image or graphic data, speech data, and video. Text is a very common and rich type of data. Articles, blogs, tutorials, social media posts, and website content all produce unstructured textual data. Thousands of emails, messages, comments, and tweets are sent by people every minute. Such a large amount of text data needs to be mined. Text analytics offers lots of opportunities for business people; for instance, Amazon can interpret customer feedback on a particular product, news analysts can analyze news trends ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.