Board path
Listening > Sentiment > Multicomparison
Why use this board
Use this board to compare sentiment across queries or competitor sets; identify where perception is stronger or weaker than peers.
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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Sentiment of mentions — Sentiment of mentions
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Mentions — Negative mentions
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Authors — Negative mentions
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Interactions — Negative mentions
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Potential Impressions — Negative mentions
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Mentions trend — Negative mentions trend
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Mentions — Top negative keywords
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Mentions — Top positive themes
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Mentions trend — Positive mentions trend
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Mentions — Positive mentions
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Authors — Positive mentions
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Interactions — Positive mentions
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Potential Impressions — Positive mentions
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Mentions — Top positive keywords
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Mentions — Top negative themes
Widgets
Sentiment of mentions
What it measures: The distribution of sentiment (Positive, Negative, Neutral) for mentions matching the analyzed queries. Mentions discovered by multiple analyzed queries are counted only once. Shown as stacked bars — each segment shows a category's share of the total; use it to see composition, not just the headline number.
Metrics: Sentiment of mentions
Visualization: Stacked bar chart
Negative mentions
What it measures: An aggregation of mentions with a negative sentiment. 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
Negative mentions trend
What it measures: An aggregation of mentions with a negative sentiment. Shown as a trend over time — use it to spot spikes, drops, and seasonality across the selected period.
Metrics: Mentions trend
Visualization: Line chart
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 positive themes
What it measures: Positive themes inform about what's being discussed in the mentions with positive sentiment. 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
Positive mentions trend
What it measures: An aggregation of mentions with a positive sentiment. Shown as a trend over time — use it to spot spikes, drops, and seasonality across the selected period.
Metrics: Mentions trend
Visualization: Line chart
Positive mentions
What it measures: An aggregation of mentions with a positive sentiment. 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 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 themes
What it measures: Negative themes inform about what's being discussed in the mentions with positive sentiment. 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