KE Langa ehat-nymer

Tonas tohore:

  1. numpy
  2. os (glo windows)

Tonas ehates nymer:

import vecs

w2v = vecs.Word2Vec()

print(w2v["Emta"])

Tonas nymeres ehat:

import vecs

w2v = vecs.Word2Vec()

def closest_vector(array):
    distances = [(distance(w2v[word], array), word) for word in w2v.keys()]
    dist_sort = sorted(distances, key=lambda x:x[0])
    return dist_sort[0][1]

vec = w2v["Emta"]

print(closest_vector(vec)) # tas eho "Emta"

Krate nymeres ehat (genv.txt)

Noto tohore:

  1. =
  2. nymer -1 glo 1
  3. Ta ehat. Nymeres ehat. (kroh is_all_capital)
  4. Ala ton ehat tohore.
  5. Ala glo tas tehst.
  6. python3 genvecs.py

Krate nymeres ehat kroh:

= 0 tehst
test
= 1 is_all_captial
TEST
= 1 tehst
TEXST
= 0 is_all_capital
texst

Kna tane python3 genvecs.py.

Ehat-nymer kna krate tohore:

Krate ehat tohore: