Created
November 14, 2019 02:05
-
-
Save bowbowbow/203a47b957cb7c019ccdce940f54f12a to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
def load_glove(glove_path): | |
word2vec = {} | |
with open(glove_path, 'r') as f: | |
for line in f: | |
split_line = line.split() | |
word = split_line[0] | |
embedding = np.array([float(val) for val in split_line[1:]]) | |
word2vec[word] = embedding | |
print("Done.",len(word2vec)," words loaded!") | |
return word2vec | |
word2vec = load_glove('../data/glove.6B.300d.txt') | |
print(word2vec['apple']) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Done. 400000 words loaded!
[-0.20842 -0.019668 0.063981 -0.71403 -0.21181 -0.59283
-0.15316 0.044217 0.63289 -0.84821 -0.21129 -0.19763
0.19029 -0.56226 0.27126 0.23782 -0.5189 -0.24518
0.035243 0.096833 0.24898 0.71279 0.038279 -0.10514
-0.4779 -0.39515 -0.27194 -0.44428 0.06113 -0.2318
-0.35901 -0.18239 0.035507 -0.087719 -1.0816 -0.42521
0.003224 -0.45991 -0.043462 -0.39031 0.519 0.21139
-0.25527 1.1805 -0.19041 -0.12156 0.034186 -0.062316
0.14421 -0.53366 0.47425 -0.4471 0.58047 0.43578
0.1321 -0.095712 -0.37182 -0.013837 0.20601 -0.10099
0.10685 -0.33723 0.10986 0.34796 -0.099839 0.36942
-0.52917 0.12407 -0.46127 -0.38483 -0.10114 -0.17634
0.37574 0.16377 -0.2198 -0.26841 0.84706 -0.35619
-0.083992 -0.20276 -0.56542 0.19112 -0.14134 -0.7812
0.69188 -0.083628 -0.54293 0.16437 0.037606 -0.68896
-0.68711 -0.13367 -0.4779 0.20125 0.085122 -0.063865
-0.17104 -0.32432 -0.17623 -0.514 -0.50289 0.23204
-0.11324 -1.064 -0.035359 -0.5068 -0.27118 -0.16621
-0.63016 0.054252 -0.048178 0.29282 -0.030666 -0.24645
-0.27084 -0.42563 -0.39171 0.18428 -0.017772 -0.35334
-0.49075 -0.90782 0.13872 -0.76521 -0.46318 -0.32124
-0.086228 1.0448 -0.39919 0.69478 -0.10377 0.86715
0.22742 0.4384 0.085767 -0.22846 0.4309 0.064187
-0.027926 -0.093056 0.65188 0.59143 -0.3376 -0.37732
0.0052212 1.1193 -0.23845 -0.16029 0.42877 -0.16228
-0.12202 -0.1061 0.015761 0.022745 -0.17734 -0.091711
-0.29158 0.19034 -0.35168 0.27563 -0.20577 0.11472
-0.34126 -0.0065915 0.14896 -0.026762 0.0019373 0.53279
-0.76088 0.063085 -0.72089 -0.04128 -0.96164 0.020769
0.16123 -0.34342 0.69713 -0.16018 -0.11701 -0.070239
-0.30774 0.39741 0.39994 -0.678 0.57684 -0.48099
0.59317 -0.42262 0.28613 -0.26203 0.052727 0.61659
-0.36801 -0.28429 -0.40054 -0.30055 -0.27444 -0.045729
-0.56105 0.24176 0.86631 -0.83715 0.13562 0.26196
-0.43055 0.34558 0.059441 0.61845 0.11837 -0.019168
0.47697 -0.32465 -0.15463 -0.23556 -0.64263 -0.092156
-0.19622 0.40666 0.18009 0.094309 0.046917 0.26369
-0.50727 0.37491 -0.66773 0.35095 -0.033835 0.30534
0.23166 0.023526 -0.68365 0.26078 -0.22526 -0.2656
0.59967 0.2598 0.36248 0.15564 -0.45549 0.11153
-0.33287 0.081364 -0.36989 -0.25543 -1.1628 -0.14622
-0.032971 -0.55619 0.47717 -0.29021 0.42688 1.2397
-0.81391 0.21084 -0.25426 -0.08684 -0.078412 0.26035
0.3281 -0.23777 0.05138 -0.030247 -0.15669 0.057147
0.33902 0.12795 -0.21468 -0.75208 0.41422 0.0062719
-0.52904 0.92193 -0.42179 -0.69638 0.074115 0.19071
-1.2031 -0.081333 -0.4914 -0.22159 -0.29876 0.30094
0.018634 0.18786 -0.45429 -0.29296 0.3695 -0.24218
-0.11803 0.071775 0.44026 -0.59978 0.45354 0.17854
-0.17155 0.018811 -0.62354 -0.014163 0.16799 -0.064392 ]