Question regarding both Sentiment Analysis and Forecasting (Times Series) in one fell swoop
You really helped me last time I asked a question and really appreciate those of you who jumped in. I have attempted to move on with this bit of knowledge gained and am I trying now to do four things:
1. Use the existing Sentiment Analysis template as a database
2. Incorporate MonkeyLearn into the whole process to presumably aid in processing data when it comes from Twitter on its way to RapidMiner?
3. Perform a times series forecast using the Forecast (Univariate) Operator built into RapidMiner as practice for more adventurous time series forecasting in the future
4. Have applied with the kind folks at Twitter for a real time feed from them, so I can extract real time, rather than static, data once I get #s 1, 2 & 3 above figured out.
(The problems refer visually to the picture included at the top of the page)
So, then I run it and it crunches for just a bit but then returns the following message:
Message: No such configured object of name [edited because this is likely the API token - mschmitz] of MonkeyLearn API Key
Stack trace: (and then a bunch of stuff comes after that that it is literally incomprehensible to me and too long to include here!)
Any thoughts, anyone? I realize I am trying to do two or three things at once herein that may or may not be a good idea, i.e. learning how to do a proper and simple time series forecast and also a sentiment analysis simultaneously....
Please keep in mind I am a rank beginner and need a no-code environment approach to learning. If that isn't already quite apparent!!!!! Yours, Richard