With sentiment analysis, you can gain insight into what your employees feel when it comes to free-text answers and comments. Here is a summary of what the sentiment analysis includes:
- Comments/free text responses are analyzed and associated with a sentiment based on a scale of negative-neutral-positive and polarized
- The most relevant key phrases are extracted and summarized in an overview
- Makes it possible to easily identify phrases mentioned frequently in the answers
When can I use sentiment analysis?
The sentiment analysis can be used on answers received via the question template for free-text answers or on comments that have been left on questions.
Question template for free-text answers
With the help of the question template for free-text answers, it is possible to dive deeper in different topics by asking open-ended questions, which the employees can answer in their own words. Asking open-ended questions and getting free-text answers can help you to provide valuable insights and capture hidden feedback.
Comments on questions
Comments are optional to leave on all questions by clicking on the comment button in the corner of the question when answering it.
How do I use sentiment analysis?
If you have received free-text answers or comments on questions, the sentiment analysis is available in connection with the result. You can see the sentiment analysis in the results views:
- Start > Dashboard
- Results > Individual Questions
- Mobile App.
To note! If it is the first time you are viewing any of the above results views, we recommend starting with reading these guides on how to find the results:
In connection with filtering the results for a free-text question or comments left on a question, click on sentiment analysis to take part of the analysis.
To note: The text from free-text answers and comments is always translated into English before being analyzed. Read more about this here.
The sentiment analysis is divided into the following three parts:
In the analysis section, you can see the overall sentiment of the free-text answers or comments, as well as a phrase cloud that summarizes all key phrases that have been extracted.
The overall sentiment shows an overall percentage distribution of each sentiment for the selected question. The phrase cloud helps you quickly understand the most common and relevant topics extracted from the answers/comments.
The more often the key phrase occurs in the various free-text answers/comments analyzed, the larger the key phrase will visually appear in the word cloud.
This section will show the key phrases that have been extracted and how often they have been mentioned in a positive/negative/neutral or polarized context.
Note that the sentiment shown per key phrase does not mean that the key phrase itself is positive/negative/neutral or polarized. The sentiment instead refers to how often the word appeared in a response or comment that is positive/negative/neutral or polarized.
In this example, we can see that the key phrase "places" appeared a total of 2 times in all responses.
Under "Positive" we can see that the key phrase was mentioned in a positive context in 50% of the total number of times the phrase has occurred.
This means that the phrase "places" has appeared 1 time in an answer or comment that has been reported as positive. In other words, it does not mean that the word "places" itself is positive.
To note: The percentage distribution of each sentiment may not always add up to 100%. Read more about this here.
In the answers/comments section, you can see a list of all free-text responses or comments that also show the overall sentiment of each response/comment as a whole.