Board path
Listening > Key topics > Overview
Why use this board
Use this board to see which themes dominate conversation for your queries; prioritize topics for research briefs and brand response.
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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Top keywords — Content overview
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emojis & hashtags — Content overview
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Top positive & negative keywords — Top positive & negative keywords
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Mentions — Topics summary
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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 hashtags
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Authors — Top hashtags
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Interactions — Top hashtags
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Potential Impressions — Top hashtags
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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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Followers — Top persons
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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 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 interests
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Authors — Top interests
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Interactions — Top interests
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Potential Impressions — Top interests
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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 — Top keywords trend
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Mentions — Top hashtags trend
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Mentions — Top themes trend
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Mentions — Top themes
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Mentions — Top emojis
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Mentions — Top hashtags
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Mentions — Top keywords
Widgets
Content overview
What it measures: An overview of the most frequently used keywords, emojis, and hashtags among mentions matching the analyzed queries, visualized in a word cloud. The more frequently an entity appears in mentions, the larger its frame in the word cloud.
Metrics: Top keywords, emojis & hashtags
Visualization: Word cloud
Top positive & negative keywords
What it measures: An overview of the most frequently featured keywords detected among mentions with either a positive (green) or negative (red) sentiment that matched the analyzed queries. Shown as a word cloud — larger labels mean higher frequency; use it to spot the most common themes, keywords, or hashtags in your data.
Metrics: Top positive & negative keywords
Visualization: Word cloud
Topics summary
What it measures: This table summarizes all detected topics among mentions matching the analyzed queries, as well as the sentiment and contextual words most frequently associated with them
Metrics: Mentions
Visualization: Table
Top URLs
What it measures: This table ranks the most frequently used URLs across mentions matching the analyzed queries
Metrics: Mentions, Authors, Interactions, Followers
Visualization: Table
Top hashtags
What it measures: 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, Potential Impressions
Visualization: Table
Top persons
What it measures: This table ranks the most frequently mentioned people in all the content of the analyzed queries. Persons 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, locations, and in some cases, dates, numerals, etc.
Metrics: Mentions, Authors, Interactions, Followers
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 events
What it measures: This table ranks the most frequently mentioned events in all the content of the analyzed queries. Events 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, locations, and in some cases, dates, numerals, etc.
Metrics: Mentions, Authors, Interactions, Followers
Visualization: Table
Top interests
What it measures: This table ranks the most frequently detected interests among mentions matching the analyzed queries. Interests are broader than themes, representing general areas of discussion detected in mentions matching the analyzed queries. A single mention can contain 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.
Metrics: Mentions, Authors, Interactions, Potential Impressions
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
Top keywords trend
What it measures: An overview of the most frequently featured keywords among mentions matching the analyzed queries, segregated by the date of the mention. Shown as a trend over time — use it to spot spikes, drops, and seasonality across the selected period.
Metrics: Mentions
Visualization: Line chart
Top hashtags trend
What it measures: An overview of the most frequently featured hashtags among mentions matching the analyzed queries, segregated by the date of the mention. Shown as a trend over time — use it to spot spikes, drops, and seasonality across the selected period.
Metrics: Mentions
Visualization: Line chart
Top themes trend
What it measures: An overview of the most frequently detected themes among mentions matching the analyzed queries, segregated by the date of the mention. Themes are specific topics detected in mentions matching the analyzed queries. You can think of themes as detailed points that can be grouped under interests. Each mention can have multiple themes. This metric shows the themes most frequently detected by our machine learning system, which can predict up to 10,000 different themes from mentions text. It supports English, Spanish, Portuguese, and partially Czech. Shown as a trend over time — use it to spot spikes, drops, and seasonality across the selected period.
Metrics: Mentions
Visualization: Line chart
Top themes
What it measures: The most frequently detected themes among mentions matching the analyzed queries, visualized in a word cloud. The higher a theme's frequency, the larger its frame in the word cloud. Themes are specific topics detected in mentions matching the analyzed queries. You can think of themes as detailed points that can be grouped under interests. Each mention can have multiple themes. This metric shows the themes most frequently detected by our machine learning system, which can predict up to 10,000 different themes from mentions text. It supports English, Spanish, Portuguese, and partially Czech.
Metrics: Mentions
Visualization: Word cloud
Top emojis
What it measures: The most frequently used emojis among mentions matching the analyzed queries, visualized in a word cloud. The more frequently an emoji appears in mentions, the larger its frame in the word cloud.
Metrics: Mentions
Visualization: Word cloud
Top hashtags
What it measures: The most frequently used hashtags among mentions matching the analyzed queries, visualized in a word cloud. The more frequently a hashtag appears in mentions, the larger its frame in the word cloud.
Metrics: Mentions
Visualization: Word cloud
Top keywords
What it measures: The most frequently used keywords among mentions matching the analyzed queries, visualized in a word cloud. The more frequently a keyword appears in mentions, the larger its frame in the word cloud.
Metrics: Mentions
Visualization: Word cloud