Focus your analysis on location data
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.
Get insights from geographical location information contained in posts or in authors’ profiles. Using the Location page, you can analyze your data set with a strong focus on where posts are coming from.
In Social Engagement, go to Analytics > Conversations to access the conversations page.
Types of location data
In Social Engagement, two types of location data are available:
Author location: Location data that is shared by a user through a profile, for example, on a user’s Twitter profile page. It is an approximate value, because the system calculates geographical coordinates. If no post location is provided by the user, the author location is considered, where available.
Post location: Location data that shows where (latitude/longitude) a post was published. The location can differ greatly between posts from the same author, depending on the settings that are applied when publishing the post. It is an exact value because geographical coordinates are provided with the post.
Both types of location data are available under the Location Type filter when defining a data set.
For the United States, you can choose between two ways of grouping visualized data. To see how many posts with location data are available in each subregion, apply a filter for post location and select Subregions. To see posts with precise geographical information (post location data) on the map, select Posts.
Some posts may have both post and author location. In these cases, the post location information is considered—not the author location.
Sources that provide location data
A subset of available sources provides location data. Authors need to share their location information, so it can be processed by Social Engagement.
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 authors 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.
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.
Lists the cities where most posts are coming from and their trend indicator. You can't drill down into more details from this list.
Lists the five most-used languages based on the volume of posts and their trend indicator.
Lists the countries/regions where most posts are coming from and their trend indicator.
Shows the percentage of posts and authors based on their location, combined with posts without location information.
Lists the location groups where most posts are coming from and their trend indicator.
Dynamic widget. Shows only if posts from a country/region in the configured location groups are available.
Visualizes the posts with location information on a map to find out where the posts are coming from. You can also define an activity map to see new posts in real-time, with additional functionality.
- Single post in a specific location.
- Multiple posts at the same location.
- Clusters of posts with location data in the same area.
Phrases by country/region
Lists the most-mentioned phrases coming from the five countries/regions with the most posts in the current data set.
Visualizes the sentiment index across all posts with a sentiment value in the selected data set. It also shows the change in sentiment index compared to the last similar time frame and a trend indicator.
You can manually change the sentiment values if a post's sentiment is analyzed incorrectly.
Dynamic widget. Shows only if the data set contains posts with sentiment value.