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How to do multiple Twitter search and join them together?
Hi guys,
I need to do multiple Twitter search and sentiment analysis to compare each query.
For example, I want to compare the sentiment among the different candidates.
I learned from the community that I can use Loop Examples to save me some time:
My question: Is there an easy way to join the ExampleSets above?
I can save them as separate datasets and join them together. Or is there a different way than Loop Examples to do multiple Twitter search?
Also, I thought I know how to aggregate the results for an individual search, but I just realised that I don't...
(such as how many p+, how many p, how many n...)
I kinda want some visualisation like this at the end. I probably can do it manually, but if I have a lot of attributes to analyse, it will take a very long time...
I need to do multiple Twitter search and sentiment analysis to compare each query.
For example, I want to compare the sentiment among the different candidates.
I learned from the community that I can use Loop Examples to save me some time:
My question: Is there an easy way to join the ExampleSets above?
I can save them as separate datasets and join them together. Or is there a different way than Loop Examples to do multiple Twitter search?
Also, I thought I know how to aggregate the results for an individual search, but I just realised that I don't...
(such as how many p+, how many p, how many n...)
I kinda want some visualisation like this at the end. I probably can do it manually, but if I have a lot of attributes to analyse, it will take a very long time...
0
Best Answer
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MartinLiebig Administrator, Moderator, Employee-RapidMiner, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,533 RM Data ScientistHi,the append operator can append those individual searches.Best,Martin- Sr. Director Data Solutions, Altair RapidMiner -
Dortmund, Germany5
Answers
Also, I thought I know how to aggregate the results for an individual search, but I just realised that I don't...(such as how many p+, how many p, how many n...)
Dortmund, Germany