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Word2Vec can be used to get actionable metrics from thousands of customers reviews. Businesses don’t have enough time and tools to analyze survey responses and act on them thereon. This leads to loss of ROI and brand value.
Word embeddings prove invaluable in such cases. Vector representation of words trained on (or adapted to) survey data-sets can help embed complex relationship between the responses being reviewed and the specific context within which the response was made. Machine learning algorithms can leverage this information to identify actionable insights for your business/product.
The text was updated successfully, but these errors were encountered:
Word2Vec can be used to get actionable metrics from thousands of customers reviews. Businesses don’t have enough time and tools to analyze survey responses and act on them thereon. This leads to loss of ROI and brand value.
Word embeddings prove invaluable in such cases. Vector representation of words trained on (or adapted to) survey data-sets can help embed complex relationship between the responses being reviewed and the specific context within which the response was made. Machine learning algorithms can leverage this information to identify actionable insights for your business/product.
The text was updated successfully, but these errors were encountered: