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Update a Sentiment Analysis Model

User: "ang30"
New Altair Community Member
Updated by Jocelyn

Hi,

 

I built a sentiment analysis model by using 1000 sampling data.

Now, I have additional 1000 examples, and I would like to update the model.

 

I know that I can input those 2000 example records and train the model again.

However, it is not efficient to do so.

 

Is there any method to update the trained model by new sampling?

Thanks!

 

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    User: "lionelderkrikor"
    New Altair Community Member

    Hi @ang30,

     

    I propose you the following solution : 

    Is this new process more efficient ? 

    Regards,

     

    Lionel

     

    Update_model.png

     

    User: "sgenzer"
    Altair Employee

    huh - been using RapidMiner for five years and have never seen "Update Model". Thank you @lionelderkrikor. Learn something every day!


    Scott

     

    User: "lionelderkrikor"
    New Altair Community Member

    Hi,

     

    You're welcome @sgenzer. Chance would have it : I discovered this operator yesterday .......

     

    Regards,

     

    Lionel

    User: "Thomas_Ott"
    New Altair Community Member

    Just one caveat with it, it will only work if the model generate can be updatable. The Deep Learning algo is not updatable whereas Naive Bayes is.

    User: "Telcontar120"
    New Altair Community Member

    Exactly, it's a nice option in theory, but unfortunately most popular algorithms don't work with it: decision trees (and their variants), linear and logistic regression, neural nets, SVMs, k-NN, etc., are all not updatable.  In fact, Naive Bayes is about the only common one I can think of that is!

    User: "charly"
    New Altair Community Member
    helo dears ,, whats the new about this  ( update model ) in rapid miner ??