About neural sentiment about aspect-based-sentiment-analysis HOT 1 OPEN

Yes. Just use a term which has neutral references:
import aspect_based_sentiment_analysis as absa

nlp = absa.load()
text = ("We are great fans of Slack, but we wish the subscriptions "
"were more accessible to small startups. Do you have a cow?")

slack, price, startups, cow = nlp(text, aspects=['slack', 'price', 'startups', 'cow'])
assert price.sentiment == absa.Sentiment.negative
assert slack.sentiment == absa.Sentiment.positive
assert startups.sentiment == absa.Sentiment.negative
assert cow.sentiment == absa.Sentiment.neutral

If you make that "Don't have a cow" you get negative.

from aspect-based-sentiment-analysis.