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How to Analyze Survey ResultsUnderstand the four measurement levels.Select your survey question(s).Analyze quantitative data first.Use cross-tabulation to better understand your target audience.Understand the statistical significance of the data.Consider causation versus correlation.More items...?Oct 4, 2021

Approaches to analyzing YouTube commentsExplore YouTube comments in Detail View.Visualize YouTube comments with cluster analysis.Gather YouTube comments or replies by users.Understand the context of replies in a YouTube dataset.Gather YouTube comments over time.

Traditional sentiment analysis involves using reference dictionaries of how positive certain words are and then calculating the average of these scores as the sentiment of that text. Next is using a simple ML model to make the classification.

Read the first 10 survey comments only and enter a word or phrase that summarizes what the comment is about. Don't dwell on this step too long or you'll drive yourself nuts. Think about your audience and topical areas they need to know about. Try to use those topical areas as categories in this step.

How to Analyze Survey ResultsUnderstand the four measurement levels.Select your survey question(s).Analyze quantitative data first.Use cross-tabulation to better understand your target audience.Understand the statistical significance of the data.Consider causation versus correlation.More items...?Oct 4, 2021

To improve your survey analysis, use the following 5 steps:Start with the end in mind what are your top research questions?Filter results by cross-tabulating subgroups.Interrogate the data.Analyze your results.Draw conclusions.

Here are the three steps to effective comment analysis:Given a new theme of interest, pull out all comments related to this theme.Check theme accuracy: Do most comments match that theme.Decide on an appropriate action.Jul 27, 2016