Word clouds can be generated based on text feedback given to an Emotion Sensor®. These are generated based on the relative importance of the words found in the comments. Businesses can easily identify the areas that needs to be improved at a glance using this capability. To access the report, go to Analyze >> Sentiment […]
Go to the dashboard, click on the Menu, Visualize and go to the Comments and select Comment Categories & Sentiment. Select a survey from the Select survey dropdown and select pages from the Select pages section to view particular page comments in the report. Add date filters and add emo signature filters using the Emo […]
To view real-time movement of a survey, go to Visualize >> Live stream. Select Emotion Sensor® from the Select survey (1)drop menu. Select the Question (2) and emote category (3). Then select Chart type (4) by clicking on checkboxes. Pulse meter – Bar Emoter Ticker Map Comments. And select the Language (5) from the drop […]
This report can be used to analyze customer feedback on a selected survey or using twitter keywords. Enter keywords and Twitter checkbox allow filtering comments related to the added keyword. These comments get categorized as negative and positive comments with the percentage. Location and date filters allow us to filter out comments further. Using Select […]
Text Comments Report help you go through all the text based responses to required questions and filter them as you need. Text Responses contain some of the most insightful and valuable information that a user can hope for. Lets go through how you can take advantage of that. Text Comment Filtering Emojot offers a wide […]
