The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here
Twitter Sentiment Analysis from RapidMiner Template
Learner I
Dear community,
I am a beginner in machine learning field and I have just started with my first project on sentiment analysis. I have decided to use the template provided by RapidMiner ->
It works perfectly, however I am unsure whether I have chosen right input data. In the 1st box "Retrieve Historical Sentiment", I put my train dataset (.xlsx) with columns (id, class sentiment, tweet), in the 2nd retrieve box below, "Retrieve", I put my test dataset (.xlsx) with columns (id, tweet). On this test dataset I want to predict the label for all tweets since in the test dataset, class sentiment is missing.
Results are as following:
Is this a good approach? Or I am missing something?
I will gladly share with you my project, if needed.
Thank you so much for your help, I really do appreciate it.
I am a beginner in machine learning field and I have just started with my first project on sentiment analysis. I have decided to use the template provided by RapidMiner ->
It works perfectly, however I am unsure whether I have chosen right input data. In the 1st box "Retrieve Historical Sentiment", I put my train dataset (.xlsx) with columns (id, class sentiment, tweet), in the 2nd retrieve box below, "Retrieve", I put my test dataset (.xlsx) with columns (id, tweet). On this test dataset I want to predict the label for all tweets since in the test dataset, class sentiment is missing.
Results are as following:
Is this a good approach? Or I am missing something?
I will gladly share with you my project, if needed.
Thank you so much for your help, I really do appreciate it.
Tagged:
0
