June 2018
Beginner to intermediate
306 pages
7h 42m
English
book
Natural Language Processing and Computational Linguistics
by Brian Sacash, Bhargav Srinivasa-Desikan, Reddy Anil Kumar
Content preview from Natural Language Processing and Computational Linguistics
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Summary
In this chapter, we discussed two important text analysis problems – sentiment analysis and building a chatbot. Sentiment analysis refers to the task of understanding sentiment in the text, and we have seen the various libraries, algorithms, and approaches to perform this task. A crucial part of performing such tasks is gathering data – we then saw how to download data from internet sources such as Twitter or Reddit. The final section of the chapter focused on how to build chatbots. We explored it from both a historical and theoretical point of view and explored Python libraries that help us easily build chatbots. This brings us to the end of the book – you would now be confident in analyzing text the way you see fit, with a variety ...
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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.Julian F.
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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.Amir M.
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.