How to analyze row for row from MySQL?

revellerreveller Member Posts: 2 Contributor I
edited November 2018 in Help
I'm planning on using RapidMiner for my thesis, for which I need to analyze the sentiment of tweets.

What I have:
I have got a MySQL database with a table called "tweets", with columns [tweet_id, tweet_datetime, tweet_text, tweet_sentiment]. The table contains 1,3 million rows. The tweets are preprocessed (stopwords removed, words stemmed, etc.).

What I want:
  • Read the "tweets" database into RapidMiner - done. I have a "Read Database" box in my process overview and it is connected properly
  • Read the database row-by-row
  • From each row, read tweet_text
  • Analyze the sentiment of tweet_text using Bayesian filter
  • The Bayesian filter should categorize into positive, neutral and negative
  • Store the sentiment into the database in column tweet_sentiment
What my questions are:
  • How can I feed the Naive Bayes operator one row at a time? I get only errors when connecting the Read Database box to the Naive Bayes box. There needs to be something in between I assume. Perhaps the Process Documents from Data operator?
  • A Bayesian filter needs to be defined (define the categories) and manually trained. Can I train the Bayes filter in RapidMiner?
  • I have downloaded a wordlist with positive and negative english words. I would like to feed these to the Bayes filter. Is this possible and how?
  • How can I let RapidMiner store the outcome of the Bayes filter into the tweets database?
I don't expect all my questions to be answered. I am more than willing to figure things out for myself, but have a hard time starting. And most RapidMiner tutorials use data from other-than-databases. I would very much appreciate some pointers to get started here. :)


  • Options
    IngoRMIngoRM Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, Community Manager, RMResearcher, Member, University Professor Posts: 1,751 RM Founder
    Please do not double post. Discussion will be continued at

Sign In or Register to comment.