Board path
Listening > Key topics > Multicomparison
Why use this board
Use this board to compare key topics across queries or segments; see which themes differentiate brands or markets.
Board controls
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Select data source: Select Listening Queries or Listening Query Sets. In order to use another data source type, please delete the current one and add a different data source type.
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Adaptive filters: Open Filter in the toolbar to narrow posts by Platform, Content Label, Sentiment, Language, Country, Interest, Media Type, Content Type, Full-text, or Advanced filter. Active filters appear as chips below the toolbar; remove a chip to clear that filter.
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Date range: Defaults to the last 30 days. The board subtitle shows the active range when available.
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Aggregated by: Day, Week, Month, Quarter, Year.
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Export: Export the table to XLSX, including the selected date range when available.
Metrics on this board
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Mentions — Top emojis
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Mentions — Top locations
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Authors — Top locations
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Interactions — Top locations
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Followers — Top locations
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Mentions — Top themes
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Mentions — Top positive keywords
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Mentions — Top negative keywords
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Mentions — Top keywords
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Mentions — Top hashtags
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Authors — Top hashtags
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Interactions — Top hashtags
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Followers — Top hashtags
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Mentions — Top events
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Authors — Top events
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Interactions — Top events
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Followers — Top events
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Mentions — Top URLs
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Authors — Top URLs
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Interactions — Top URLs
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Followers — Top URLs
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Mentions — Top organizations
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Authors — Top organizations
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Interactions — Top organizations
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Followers — Top organizations
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Mentions — Content overview
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Mentions — Top persons
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Authors — Top persons
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Interactions — Top persons
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Potential Impressions — Top persons
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Mentions — Top interests
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Authors — Top interests
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Interactions — Top interests
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Potential Impressions — Top interests
Widgets
Top emojis
What it measures: An overview of the most frequently featured emojis among mentions matching the analyzed queries. Shown in a sortable table — use it for exact values per row and to compare individual items (for example agents, profiles, or authors).
Metrics: Mentions
Visualization: Table
Top locations
What it measures: This table ranks the most frequently mentioned locations among content matching the analyzed queries. Locations are detected via recognition models for entities mentioned in the text of a mention. These models process the text and detect the group of words that represent entities of different types. Types include people, organizations, places, and in some cases, dates, numerals, etc.
Metrics: Mentions, Authors, Interactions, Followers
Visualization: Table
Top themes
What it measures: An overview of the most frequently used themes across mentions matching the analyzed queries. Shown in a sortable table — use it for exact values per row and to compare individual items (for example agents, profiles, or authors).
Metrics: Mentions
Visualization: Table
Top positive keywords
What it measures: An overview of the most frequently featured keywords with a Positive sentiment among mentions matching the analyzed queries. Shown in a sortable table — use it for exact values per row and to compare individual items (for example agents, profiles, or authors).
Metrics: Mentions
Visualization: Table
Top negative keywords
What it measures: An overview of the most frequently featured keywords with a Negative sentiment among mentions matching the analyzed queries. Shown in a sortable table — use it for exact values per row and to compare individual items (for example agents, profiles, or authors).
Metrics: Mentions
Visualization: Table
Top keywords
What it measures: An overview of the most frequently featured keywords among mentions matching the analyzed queries. Shown in a sortable table — use it for exact values per row and to compare individual items (for example agents, profiles, or authors).
Metrics: Mentions
Visualization: Table
Top hashtags
What it measures: An overview of the most frequently used hashtags across mentions matching the analyzed queries. Shown in a sortable table — use it for exact values per row and to compare individual items (for example agents, profiles, or authors).
Metrics: Mentions, Authors, Interactions, Followers
Visualization: Table
Top events
What it measures: The most frequently mentioned events in all the content of the analyzed queries. The top events are based on the detection and recognition model for the entities mentioned in the text of the listening mentions. Shown in a sortable table — use it for exact values per row and to compare individual items (for example agents, profiles, or authors).
Metrics: Mentions, Authors, Interactions, Followers
Visualization: Table
Top URLs
What it measures: An overview of URLs that are most frequently attached to the mentions in the analyzed queries. Shown in a sortable table — use it for exact values per row and to compare individual items (for example agents, profiles, or authors).
Metrics: Mentions, Authors, Interactions, Followers
Visualization: Table
Top organizations
What it measures: This table ranks most frequently mentioned organizations among content matching the analyzed queries. Organizations are detected via recognition models for entities in the text of a mention. These models process the text and detect the group of words that represent entities of different types. Types include people, organizations, locations, and in some cases, dates, numerals, etc.
Metrics: Mentions, Authors, Interactions, Followers
Visualization: Table
Content overview
What it measures: An overview of the most frequently used keywords, emojis, and hashtags among mentions matching the analyzed queries. Shown in a sortable table — use it for exact values per row and to compare individual items (for example agents, profiles, or authors).
Metrics: Mentions
Visualization: Table
Top persons
What it measures: The most frequently mentioned people in all the content of the analyzed queries. The top persons are based on the detection and recognition model for the entities mentioned in the text of the listening mentions. Shown in a sortable table — use it for exact values per row and to compare individual items (for example agents, profiles, or authors).
Metrics: Mentions, Authors, Interactions, Potential Impressions
Visualization: Table
Top interests
What it measures: Interests are broader than themes, representing general areas of discussion detected in mentions matching the analyzed queries. A single mention can have multiple interests. This metric shows the interests most frequently detected by Emplifi's machine learning system, which can predict up to 320 different interests. It supports Arabic, Czech, German, English, Spanish, French, Indonesian, Korean, Portuguese, Russian. Shown in a sortable table — use it for exact values per row and to compare individual items (for example agents, profiles, or authors).
Metrics: Mentions, Authors, Interactions, Potential Impressions
Visualization: Table