Question

Deep learning are not suitable for text analysis.

Answer 1

yeah great........

cool ;)

Answer 2

‘Deep learning are not suitable for text analysis’ is a FALSE statement.

Explanation:

• Text processing has been considered as one of the most important task in many of the machine learning techniques.  

• Some of the examples of such application are sentiment analysis, spam filtration, and language translation.  

• Processing of text is one of the most complex processes. Deep learning methods give better results in applications such as language translation and sentiment analysis.  

• The models are slow to train but gave better results when compared to other ML approaches.