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Tutorial: Building a Twitter Sentiment Analysis Process


 
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Tutorial on collecting and analyzing tweets using the “Text Analysis by AYLIEN” extension for RapidMiner.



Step 4. Visualizing the results

We have our results stored in a table (ExampleSet) but in order to make them more presentable we want to visualize them a bit better.

RapidMiner let’s you display and visualize results of your Process really easily using simple charts and visualizations like the ones below, which can all be created using the Charts widget on the left hand side of your results display: tweet-dataviz1
Bar chart showing the total number of positive, negative and neutral tweets
tweet-dataviz2
Pie chart showing the percentage of positive, negative and neutral tweets
tweet-dataviz3
Pie chart showing the percentage of positive, negative and neutral tweets


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