Understand widgets on the overview page
Important
Microsoft Social Engagement will be discontinued on January 16, 2020. Additionally, starting October 1, 2019, the service will no longer support Twitter as a data source. For more information, see Changes coming to Dynamics 365 Market Insights preview and Microsoft Social Engagement.
Start your analysis with an overview of the data that your solution has acquired so far. Find key widgets that provide information such as the volume of posts, their sources, sentiment, and where the posts are coming from.
In Social Engagement, go to Analytics > Overview to access the overview page.
Note
Overview is the default page when you go to the Analytics area, or when you choose Microsoft Social Engagement on the navigation bar.
Authors
The normal view of this widget shows the top five authors and sources, based on the volume of posts and trend indicator. Select the Full view button to expand the widget and find more details such as reach, source, and location for the 100 most-active authors and their posts.
To add a filter for multiple authors at once, select the check boxes on the left side of the list for all authors that you want to include. Then select INCLUDE in the list header. To remove an author from the filter, select the check boxes on the left side of the list for all authors that you want to remove from the filter. Then select EXCLUDE in the list header.
Note
Full view also has a Delete button you can use to delete a selected author and the author’s posts. You must have a Power Analyst or Administrator user role to delete an author.
When you delete an author, none of the author’s previous posts will be available in the solution’s database; they are permanently deleted. No new posts from this author will be acquired in the future.
Languages
Lists the five most-used languages based on the volume of posts and trend indicator.
Location insights
Visualizes the posts with location information on a map to show where the posts are coming from. You can also define an activity map to see new posts in real-time, with additional functionality.
Dynamic widget. Shows only if posts with location information are available in the selected data set.
Phrases
Lists frequently mentioned phrases, based on the posts in your current data set. The larger a phrase appears, the more posts contain the phrase.
Post types
Shows the volume of posts and comments on Facebook pages, separated by page and by author.
Dynamic widget. Shows only if the data set contains at least one search topic with a Facebook pages rule.
Search topics
Shows the top five categories if you include all search topics in your data set, or search topics if you include a category in your data set, based on volume and trend indicator.
Sentiment
Shows the sentiment index across all posts that have a sentiment value in the selected data set. It also shows changes in the sentiment index compared to the last similar time frame and the trend indicator.
You can manually change the sentiment values if you find that sentiment for a post is analyzed incorrectly.
Dynamic widget. Shows only if the data set contains posts with sentiment values.
Sentiment by category/search topic
View the sentiment index and sentiment trends for all posts that have a sentiment value in categories or search topics, sorted by volume.
Select the Full view button to expand the widget for more details.
Dynamic widget. Shows only if your data set contains posts with sentiment value. If you include all search topics in your data set, it will show the sentiment by categories. If you include a category in your data set, it will show the sentiment by search topic.
Sources
Shows the number of posts in the most active sources and summarizes how many posts were found in other sources.
Click the Full view button to expand the widget for more details.
Volume
Shows the total number of posts and the average number of posts for the selected data set over time.
See Also
Analyze social data using widgets
Get to know your filters
Explore more options with your data set
Understand the public perception using sentiment analysis
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