How to Perform Basic Sentiment Analysis and Topic Extraction on Tweets using RapidMiner

This video from ‪@DrAmandaLedet‬ will teach you how to set up a process in RapidMiner to scrape tweets from Twitter, remove duplicates, perform both sentiment analysis and topic extraction on the tweets, then write the results to an Excel file.
For more information about me: www.amandaledet.com
Correction to a comment made in the video. *The meaning cloud extension uses 6 categories to define sentiment, not 5. The categories used are:
P+: strong positive
P: positive
NEU: neutral
N: negative
N+: strong negative
NONE: without sentiment

[@user-vo7ih7tj7l]

Thanks for explaining these RapidMiner comments in such a clear, concise manner. This was very helpful to me as I learn RapidMiner.

[@janastupavsky586]

Helpful instruction.