johnpaulbin / similarity

Uses embeddings to determine similar results.

similarity

Uses embeddings to determine similar results.

Usage:

sentences = {
  'You are awesome!': 1,
  "You aren't so great.": 0,
  "Hmm, I don't know": 0,
  'Oh yeah nice work!': 1,
  # More sentences usually make the results more accurate.
}

from similarity import similar
sim = similar(sentences)

tests = [
  "Cool!",
  "Nah, this is not it..."
]

for i in tests:
    print(i)
    out = sim.similar(i, max=1) # max is amount of results returned
    if out[0] == 1:
        print("Positive!")
    else:
        print("Negative!")
    print()