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Open ended Survey Analysis using Machine Learning

With the recent advances in deep learning, the ability of algorithms to analyse text has improved considerably. Now analysing digital and social media is not restricted to just basic sentiment analysis and count based metrics. Creative use of advanced artificial intelligence techniques can be an effective tool for doing in-depth research. We believe it is important to classify incoming customer conversation about a brand based on following lines:

  • Key aspects of a brand’s product and service that customers care about.
  • Users' underlying intentions and reactions concerning those aspects.

Learn how to analyse survey using machine learning including:

  • How ParallelDots' sequential models perform way better than other techniques to perform text classification.
  • How users can automatically categorize a piece of text into their own custom categories without any training data (or labeled data).
  • How to visualize the analyzed data within the spreadsheets.
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