Sentiment Analysis In R

Rachel Tatman has a great tutorial introducing sentiment analysis in R:

By the end of this tutorial you will:

  • Understand what sentiment analysis is and how it works
  • Read text from a dataset & tokenize it
  • Use a sentiment lexicon to analyze the sentiment of texts
  • Visualize the sentiment of text

If you’re the hands-on type, you might want to head directly to the notebook for this tutorial. You can fork it and have your very own version of the code to run, modify and experiment with as we go along.

Check it out.  There’s a lot more to sentiment analysis—cleaning and tokenizing words, getting context right, etc.—but this is a very nice introduction.

Related Posts

Connecting To Elasticsearch With R

Jerod Johnson has a sample of connecting to Elasticsearch with R: You will need the following information to connect to Elasticsearch as a JDBC data source: Driver Class: Set this to cdata.jdbc.elasticsearch.ElasticsearchDriver. Classpath: Set this to the location of the driver JAR. By default, this is the lib subfolder of the installation folder. The DBI functions, […]

Read More

Voice Control For Shiny Apps

Over at Jumping Rivers, an example of using a Javascript library to control a page using voice commands: I have found that performance across all devices and browsers is definitely not equal. By far the best browser I have found for viewing the apps is Google Chrome. I have also tended to find that my […]

Read More

Categories

October 2017
MTWTFSS
« Sep Nov »
 1
2345678
9101112131415
16171819202122
23242526272829
3031