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
Sentiment Analysis Problems
staticseven
Member Posts: 2 Learner I
Hi all
I'm entirely new to Rapidminer and I'm really struggling. I've tried both the Aylien and Rosette APIs to run sentiment analysis on a CSV file but I'm getting nowhere.
Can someone explain the basic processes to run sentiment analysis on certain fields in a CSV file? I've tried it using both. I get no results from either and I've not maxed out my calls on the Rosette API. I can't get a single output, the process just runs without output. The file is only 600 entries too. I'm pretty sure I'm not using the right modules I should be running.
Thanks
I'm entirely new to Rapidminer and I'm really struggling. I've tried both the Aylien and Rosette APIs to run sentiment analysis on a CSV file but I'm getting nowhere.
Can someone explain the basic processes to run sentiment analysis on certain fields in a CSV file? I've tried it using both. I get no results from either and I've not maxed out my calls on the Rosette API. I can't get a single output, the process just runs without output. The file is only 600 entries too. I'm pretty sure I'm not using the right modules I should be running.
Thanks
0
Answers
Could you share your process and your dataset in order we can reproduce what you observe ?
Regards,
Lionel
After a lot of messing around I finally got a result from this process this morning with sentiment and sentiment scores. I know this is simple but is this the correct way to run this process (retrieve csv, extract entities, analyse sentiment)? Or are there other things I need to do? I'm really wary of running more examples as I don't want to use up all my server calls again today doing it wrong.
Thanks for being so patient with a beginner.