Created
November 26, 2019 18:47
-
-
Save rafaljanwojcik/865a9847e1fbf3299b9bf111a164bdf9 to your computer and use it in GitHub Desktop.
This file contains 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
| words = pd.DataFrame(word_vectors.vocab.keys()) | |
| words.columns = ['words'] | |
| words['vectors'] = words.words.apply(lambda x: word_vectors.wv[f'{x}']) | |
| words['cluster'] = words.vectors.apply(lambda x: model.predict([np.array(x)])) | |
| words.cluster = words.cluster.apply(lambda x: x[0]) | |
| words['cluster_value'] = [1 if i==0 else -1 for i in words.cluster] | |
| words['closeness_score'] = words.apply(lambda x: 1/(model.transform([x.vectors]).min()), axis=1) | |
| words['sentiment_coeff'] = words.closeness_score * words.cluster_value |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
I tried to use this chunk, but I am getting "ValueError: Buffer dtype mismatch, expected 'double' but got 'float' " for words['cluster'] = words.vectors.apply(lambda x: model.predict([np.array(x)]))
I tried to explicitly typecast np.array to double and float64, but nothing worked.