Recent content by connorcorner26

learning is probably the bit I'd look at first. Keeping the first test simple usually tells you more than changing everything at once. That usually gives a much cleaner signal than changing several things together.

A useful way to understand Natural Language Processing is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is quality versus speed. Define what a good result looks like before changing tools or settings, then test one variable at a time...