This is how Keatext's Analysis page looks once data has been uploaded: 

Let’s break it down into different areas and elements for a better understanding.

The panel along the side allows you to navigate away from the Analytics page. You can open and close this panel by clicking on it.

  • Homepage - This is where you quickly and easily spot trends and insights, its also helps you narrow down areas that you may want to dive deeper into on the Analysis page.

  • Sources page - This is where you upload files to Keatext.

  • Analysis page - This is where the detailed text mining results are displayed.

  • Management page - This is where you can manage Filtersets and Tags, and where you can customize Groups.

  • Organization - This is where you toggle between organizations (not all users will have multiple organizations).

  • Documentation - This will open the Help Center in a different tab.

  • Language - This allows you to toggle between available interface languages (currently English and French are available).

  • Settings page - This is where you can manage users and check your usage.

  • Log out - This is where you can safely log out of the Keatext app.

Top Navigation

  • Filters - This opens to reveal a panel allowing you to filter your data. Learn more about filtering possibilities here.

  • Records - This shows how many records are currently selected for analysis and the total number of records imported - from all sources. If there's a discrepancy between these numbers and there are no filters applied, it's possible that some records were dropped from the analysis because Keatext didn't identify useful information in them. Read more about Records here.

  • Share - This allows you to share a Filterset with others who do not have a Keatext subscription.

Comments Overview

  • All time (date filter) - You can filter by choosing the desired time period for your analysis and, if defined, it will trigger comparison analysis. Read more about this here.

  • Sentiment - These filters allow you to see the different categories of textual data: Praises, Problems, Suggestions, and Questions. Select the checkbox to include results based on the sentiment category. Read more about this here.

Filter Panel

Select "Filters" at the top left of the top navigation. This opens to reveal a panel allowing you to filter your data.

  • Filterset dropdown - Toggle between saved filtersets with ease using the dropdown.

  • Analyzed Sources - Choose the Sources, and fields within them, that you'd like to display on the Analysis page.

  • Record Filters - Filter by the metadata contained in your dataset using Record filters. If your dataset includes dates, choose that variable in your Records filter to isolate time periods.

  • Tags - Filter by Tags (if you have previously applied them).

  • Advanced filters - allow you to include Comment without opinions or Opinion only results in your results list as well as toggling to your Blacklist to see hidden Comments.

  • Search - Use the Search filter to isolate Topics, Opinions, or Keywords.

Once you have set all your desired filters, select save at the top of the panel to save your filterset to come back to it easily at any time.

Results list

Comments that have the same meaning (with the same Topic, Opinion and Sentiment) are grouped together in the results list.

  • Checkbox - This is an interactive column where you can either select all or click on individual results. Clicking here opens a menu where you can hide or Tag selected items. Tags in this example are based on customer journey steps and include "app" and "customer service".

  • Rank - This column ranks results in descending order of comment frequency so you don’t get lost as you navigate down the list. 

  • Comment - This is a Comment that represents the comment group. Comments contained in the group will have the same meaning.

  • Sentiment - Each result is labeled with the sentiment category it's been assigned to (Praise, Problem, Suggestion, or Question). 

  • Comments - This column displays the number of comments associated with this representative comment.

  • Interest - If looking at a specific time frame (other than "All time"), frequency trends will be highlighted here.

Learn about these topics in Keatext’s Learning Hub:

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