Multiple Stanford CoreNLP model files made, which one is the correct one to use?

Question

I made a sentiment analysis model using Standford CoreNLP's library. So I have a bunch of ser.gz files that look like the following:

I was wondering what model to use in my java code, but based on a previous question,

I just used the model with the highest F1 score, which in this case is model-0014-93.73.ser.gz. And in my java code, I pointed to the model I want to use by using the following line:

    props.put("sentiment.model", "/path/to/model-0014-93.73.ser.gz.");

However, by referring to just that model, am I excluding the sentiment analysis from the other models that were made? Should I be referring to all the model files to make sure I "covered" all the bases or does the highest scoring model trump everything else?

Answer 1

You should point to only the single highest scoring model. The code has no way to make use of multiple models at the same time.