The terms Records, Comments and Commenters are used in various places throughout the workspace. Let’s review what they mean.
A Record refers to one entire row in the CSV file you uploaded, regardless of the number of columns/fields/cells present. It is the feedback or response given by a single Commenter.
In the example above we can see that there are a total of 3,390 Records contained in all three analyzed sources. This means there are a total of 3,390 rows in the three dataset combined. 2,904 of the 3,390 Records contained valuable insights.
In certain cases, some Records may not be included in the analytics. This is because either they are blank (contain no unstructured text), or because the text they contain has no sentiment. For example “the cars are blue”, is a factual statement, it is absent of a positive or negative sentiment. Records such as these do not contain valuable insights.
Knowing the number of Records present in the analysis out of the total number of Records in the dataset is important as it gives you an idea of the scope of the analysis. In the example above Keatext was able to analyze over 85% of the records, which means you will get a pretty good understanding of what people in this dataset are thinking. We have a lot of feedback to work with. If you are conducting a survey and only a small percentage of the respondents give a written response to an open-ended question, though the feedback may have value, you should keep in mind that it may not based on a representative sample.
A Comment is each statement in the Record, which contains a topic and an opinion, and has a sentiment assigned to it. A Record can contain numerous Comments and the same Comment can be present in numerous Records.
For example “The weather was sunny so we loved our stay.” may be one Record. It contains two Comments.
Comment #1: “The weather was sunny”
Comment #2: “We loved our stay”
The number of Commenters refers to the number of people who have given feedback. If your dataset contains a unique customer/employee identifier such as an email or internal customer/employee number, and you set that field as the Commenter ID when you upload your dataset, the number of Commenters will appear in your Comments Overview. If you do not set a Commenter ID, the Comments Overview will be blank. Read more about uploading a dataset here.
This is useful for understanding the ratio of Comments to Commenter. In some datasets, you may get the same Commenter posting a number of Comments, which shows that people are taking an active interest in giving you feedback.