If it's just about 20+20 verbs, do it manually, it will take 10 minutes. Start with

{love, like, praise, enjoy, share, hug, visit, remember, dazzle, help, ...} and

{hate, dislike, die, cease, ignore, warn, provoke, kill, pay, require, ...}.

You can also look at amazon.com or imdb.com positive and negative reviews and get some verbs from there.

The problem with these tasks is that most words can be positive or negative, depending on the contexts. That's even more true for verbs than for adjectives because for negative verbs, we often use a positive verb together with negation ("didn't help"), where the corresponding adjective would be directly negative ("unhelpful"). So you should definitely look at negation as a feature in your model.

If it's just about 20+20 verbs, do it manually, it will take 10 minutes. Start with

{love, like, praise, enjoy, share, hug, visit, remember, dazzle, help, ...} and

{hate, dislike, die, cease, ignore, warn, provoke, kill, pay, require, ...}.

You can also look at amazon.com or imdb.com positive and negative reviews and get some verbs from there.

The problem with these tasks is that most words can be positive or negative, depending on the contexts. That's even more true for verbs than for adjectives because for negative verbs, we often use a positive verb together with negation ("didn't help"), where the corresponding adjective would could be directly negative ("unhelpful"). So you should definitely look at negation as a feature in your model.