Sentence Embedding - Machine/Deep Learning Model

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Using a python 2.7 code environment I was able to use the macro's pre-trained word embeddings and create sentence embeddings using the plug in for a column in my dataset which is a corpus of text data. What I'm trying to do is figure out how I can use DSS to classify the text data in that column by using the sentence embeddings. The sentence embeddings are put in a different column. I would also like to map back to the actual words when the clustering is complete so I can get text analysis.

What I tried doing was use the available K-means algorithm on the sentence embedding column to create clusters of data but I often got list of of index errors during fit of the model.

Can you help me with advice on how to use sentence embeddings plugin out with existing deep/machine learning algorithms.

Thanks,

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Answers

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