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Goals of Comment Explorer analysis
Comment Explorer provides categorization and sentiment analysis for open-ended, unstructured comments.Comment Explorer is useful for Social Media and Market Research analyses.
The analysis has been custom-designed to put the most useful analyses of such comments at your fingertips:
Providing a compact, easy-to-read display beginning with an Overview of categorized comments that visualizes the impact of those categories. Diagnosing comments with a unique WhoSezSM feature that portrays the composition of the consumers making a given comment Delivering the sentiment analysis of favorable or unfavorable for each category, sub-category and individual comment Guiding the user with an interactive navigation system to dive deeper into sub-categories, all the way down to the individual comments themselves.
Comments Organized
A Comprehensive Analysis of the Comments organized
into Categories
The focus of the first - top level -
chart is “Overall.” It summarizes all comments. In this example, the top level summary divides the comments into 6 main categories: Food Service
etc.
The categories are created by our trained analysts. This is unlike “text analytic software,” which requires you to determine how to categorize
keywords - or pay extra.
Comment Impact
The height of each category bar is calculated as a
proportion of the results
The height of each bar reflects the results proportion of the current chart – for example, here comments about Food are made 5 times as often as comments about Service, and this is reflected in their
respective bar heights.
An additional feature: hover your mouse over any category title (e.g. "Food" in this example) to see an exact percentage of comments in
that category.
Comments Diagnosed with WhoSezSM Analysis
By clicking any result value on any chart you can profile “Who Sez?”
Click any displayed percentage (%) to call up a chart depicting the composition of the respondents. Often in market research comments, this is a demographic analysis. For example – who are the 51% who commented unfavorably about “Service”?
Who
Sez?
Comment Sentiment Analysis
for every category and sub-category
The green and red segments of
each category bar show the
proportion - by width - of
Favorable vs. Unfavorable
comments.
The percent (%) of each
category’s comments that were
“Favorable” vs. “Unfavorable” are
displayed in the green and red
segments of the category bar.
Sentiment Benchmark
An Overall Sentiment Benchmark Ruler is your guide
This ruler provides the overall balance of Favorable to Unfavorable comments. It is displayed on all charts as a handy indicator of how each particular category compares against overall sentiment. At the top of each chart the “Overall Favorable” measure is displayed and this benchmark is “dropped down” as a white vertical bar. In this example we see that comments about Food are more likely to be favorable (78%) than Comments overall (59% favorable); while in other categories favorable comments lag behind the overall measure.
Navigating in Comment Explorer Explore, drill down, view verbatim comments, jump back up
Navigating Sub-Categories
Sub-Category button used to preview
To learn whether you’d like to dive deeper into a category, hover your mouse over the sub-category icon.
You’ll see a preview of the sub-categories that make up the current category, along with a count of the number of comments (favorable + unfavorable) classified in each sub-category.
Navigating Verbatim Comments
Verbatim Response button used to preview
To learn whether you’d like to
dive to the most specific level of
the individual verbatim
comments, hover your mouse
over the verbatim “speaking
balloon” icon.
You’ll see a preview count of the
number of comments contained
in the category or sub-category.
Navigating Verbatim Comments
Once the Verbatim Response button is clicked
To drill down to the actual comments, click the Verbatim balloon button.
When you click that verbatim icon you’ll view a new window displaying the text of all
responses classed in the category – divided into Favorable and Unfavorable sentiment
columns.
