November 2017
Beginner to intermediate
366 pages
7h 59m
English
Content preview from R Data Analysis Projects
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Dictionary methods
Sentiment lexicons, in which words are categorized as positive and negative, are used in this technique. There are several lexicons available today:
- SocialSent is a domain specific lexicon available from Stanford University: https://nlp.stanford.edu/projects/socialsent/
- Wordnet is a lexical database for English from Princeton: http://wordnet.princeton.edu/
- There are several sentiment annotated datasets available at Bing Liu's website: https://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html
We match these lexicons to the tokens (words) in the input data and we can then calculate an overall sentiment, for example, based on the proportion of positive words to negative words.
The tidyr package has three sentiment lexicons. ...
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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.
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.Addison B.
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.