Sentiment Analysis

Dustin Ryan and Patrick Leblanc used Azure ML and Power BI to do sentiment analysis:

Using Azure ML and a free subscription to the Text Analytics API, I’m going to show you how to perform sentiment analysis and key phrase extraction on tweets with the hashtag #Colts (after this past Sunday’s 51-16 beat down of the Colts at the hands of the Jacksonville Jaguars, I’m bathing in the tears of Colts fans. Watch the highlights! ). Although my example here is somewhat humorous, the steps can be used to perform sentiment analysis and key phrase extraction on any text data as long as you can get the data into Power Query.

This is a fantastic example of how Azure ML can be used.  Read the whole thing.

Related Posts

Reviewing Word Associations With R

Julia Silge does some exploratory analysis on the Small World of Words project: The Small World of Words project focuses on word associations. You can try it out for yourself to see how it works, but the general idea is that the participant is presented with a word (from “telephone” to “journalist” to “yoga”) and is then […]

Read More

Executing Python Code In Power BI

Brad Llewellyn shows how to build a visual based on a Python script using Power BI: Now that we’ve seen our data, it’s a relatively simple task to convert the R script to a Python script. There are a few major differences. First, Python is a general purpose programming language, whereas R is a statistical […]

Read More

Categories

December 2015
MTWTFSS
« Nov Jan »
 123456
78910111213
14151617181920
21222324252627
28293031