---
title: "Glossary: Analyse Platform Terminology"
description: Discover key terms used in DataEQ’s Analyse platform, including dashboards, filters, sentiment, drill downs, and topic wheels. This glossary helps users navigate features and extract insights confidently.
---

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1. [Knowledge Base](https://dataeq.com/knowledge-base)
2. [Glossaries](https://dataeq.com/knowledge-base/glossaries)

# Glossary: Analyse Platform Terminology

## This glossary covers essential and advanced terminology used in the Analyse platform, designed to help users understand platform functionality, navigate data confidently, and build meaningful insights from online customer conversations.

### **Dashboard**

A visual workspace for analysing your data. Dashboards consist of customisable **sections** and **metrics** and can be created, edited, or duplicated to track performance trends and customer insights.

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### **Section**

A segment within a dashboard that houses a group of metrics. Sections can have individual filters, making them ideal for comparing different data segments within the same dashboard.

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### **Metric**

A visualisation of a specific dataset. Metrics include bar charts, pie charts, word clouds, tables, topic wheels, and sentiment graphs.

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### **Drill Down**

An interactive filter that lets users segment a section dynamically—e.g., toggle between brands, topics, or time periods—without altering the dashboard’s master filters.

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### **Filter**

Tools to narrow down your data by:

- **General Tab**: Date, sentiment, language, region.
- **Content Tab**: Keywords, phrases, exclusions (-word), wildcard search (custom\*).
- **Platform Tab**: Social network, author type, media presence.
- **Tags Tab**: Custom or system-generated tags.

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### **Saved Filters**

Saved combinations of filters that can be applied across dashboards or mentions panels. Useful for standardising views across teams or recurring reports.

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### **Mention**

An individual unit of online conversation captured from platforms like social media, news, or forums. Each mention includes metadata (timestamp, source, author, sentiment).

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### **Sentiment**

Classifies a mention’s tone:

- **Positive**: Praise or satisfaction
- **Neutral**: Informational or emotionless
- **Negative**: Criticism or complaints

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### **Priority Tag (RPCS)**

System tags that reflect urgency:

- **Risk**: Threats to brand reputation.
- **Purchase**: Sales leads or intent.
- **Cancel**: Indicators of churn or dissatisfaction.
- **Service**: Customer support requests.

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### **Tag**

Custom or default labels that allow you to organise mentions by campaign, theme, or use case. Can be applied individually or in bulk.

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### **Topic Wheel**

A radial visualisation of parent and child topics in conversation. Helps identify key themes and their subcategories at a glance.

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### **Topic Tree**

The hierarchical structure that governs topic tagging in Analyse. Can be standardised across industries or customised per client.

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### **Topic Co-Occurrence**

A visual matrix showing how frequently different topics appear together in the same mention. Helps surface compound issues or related concerns.

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### **Comparison Matrix**

Tool to benchmark sentiment, topics, or volume across brands, time periods, or campaigns side-by-side.

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### **Author**

The individual or organisation responsible for a mention. Author metadata includes handle, platform, influence score, and engagement data.

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### **Author Panel**

Displays all mentions, sentiment breakdown, and engagement metrics related to a specific author. Helpful for influencer identification or complaint resolution.

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### **Engagement Metric**

Tracks replies, shares, or retweets related to a mention. Used to determine the visibility and impact of specific conversations. Likes and reactions are currently not included in Engagement in Analyse.

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### **Influence Score**

Measures an author's potential reach or impact, based on follower count or site authority. High-influence authors are weighted more heavily in risk and reputation analysis.

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### **Alert**

A customisable notification triggered by volume spikes, sentiment shifts, or high-priority mentions. Delivered via email, Slack, or in-app.

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### **Verified**

Indicates a data point has been quality-checked and confirmed by EQEngine. Applies to sentiment, relevance, and classification fields.

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### **Volume**

The number of mentions captured for a brand, topic, or time range. Often the starting point for time-series analysis and trend detection.

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### **Volume Limit**

The monthly quota of mentions available per client account. Volume overages can temporarily restrict dashboard access or trigger upgrade discussions.

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### **Opportunity-to-See (OTS)**

A proxy for reach based on the number of followers (for social) or domain traffic (for news). Aggregated OTS gives a potential audience size for a campaign or crisis.

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### **Rewind**

An internal data recovery tool used by DataEQ staff to backfill historical mentions. Useful when tracking unmonitored keywords retroactively (not visible to clients).

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### **Root Brand**

The primary entity being tracked in Analyse. All mentions and sub-brands nest under the root brand. Sentiment is always measured relative to the root.

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### **Sub-Brand**

Secondary topic or brand under a root brand. Used to categorise mentions, e.g., under product lines, spokespersons, or campaigns.

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### **Source**

The platform or domain where the mention originated—e.g., Twitter, Facebook, News24, Reddit.

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### **Trash**

Where irrelevant or off-topic mentions are hidden. Automatically managed via tagging rules or sentiment verification. Trashed mentions are deleted after 30 days.

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### **Profile Authorisation**

The process of connecting a brand’s social accounts (e.g., Facebook, Instagram) to enable data collection, especially private message tracking.

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### **Private Mentions**

Content such as direct messages (DMs) that are only captured if profile authorisation is active. These are useful for service performance analysis but are not public-facing.

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### **Data Source**

Describes the type of mention origin: owned (brand pages), earned (media, customer posts), or shared (retweets, shares).

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### **Word Cloud**

A metric that shows top recurring words in a dataset, scaled by frequency. Useful for surfacing emerging terms or dominant themes.

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### **Export**

Mentions, dashboards, or metrics can be downloaded as:

- **CSV** for raw data
- **PNG/PDF** for presentation visuals

Exports are customisable based on filters applied.

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### **Email Reports**

Automated or ad-hoc email notifications that share dashboard snapshots or updates with selected recipients.

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### **Setup Panel**

Where users can manage tags, authorisations, user access, volume alerts, and notifications.

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### **Notifications**

Custom triggers for internal use that monitor thresholds like crowd usage, volume breaches, or tag saturation. These are typically not visible to clients but can be requested.

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### **Custom Dashboard Category**

Organisational folders that help group dashboards by department, goal, or project. Improves navigation and team workflow.

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### **Drill Down Menu**

Found in dashboard sections—allows interactive sorting by sentiment, brand, topic, or date without changing filters globally.

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### Interaction

An interaction consists of a mention (post) or set of mentions (posts) from a consumer, followed by a reply or set of replies from a brand. (within a conversation)

To keep track of different interactions, a new interaction is formed in the following scenarios:

- If the consumer posts again, after the brand reply, this starts a new interaction.
- If there is a gap of more than 14 days between posts from the consumer or brand
- If the author switches between private and public communication

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### Interaction ID

An Interaction ID is a unique identifier assigned to an interaction.

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### Response time

Response time refers to the amount of time it takes for a brand to respond to a customer's inquiry or message on a serviceable social media platform, such as Facebook, Twitter, HelloPeter or Instagram. 

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### Response time (working hours)

Response Time (during working hours) refers to the amount of time it takes for a brand to respond to a customer's inquiry or message on a serviceable social media platforms, while taking in to account their scheduled work hours.

To measure the response time during working hours, a timer is started at the beginning of the interaction, paused outside of work hours, and resumed during the next scheduled work hours until the end of the interaction.

---

- [Analyse](https://dataeq.com/knowledge-base/analyse#main-content)

    - [Metrics and Drill Downs](https://dataeq.com/knowledge-base/analyse#metrics-and-drill-downs)
    - [Exploring Authors](https://dataeq.com/knowledge-base/analyse#exploring-authors)
    - [Alerts and Notifications](https://dataeq.com/knowledge-base/analyse#alerts-and-notifications)
    - [The Reports Panel](https://dataeq.com/knowledge-base/analyse#the-reports-panel)
    - [Getting Started on Analyse](https://dataeq.com/knowledge-base/analyse#getting-started-on-analyse)
    - [Visualising Conversation Topics](https://dataeq.com/knowledge-base/analyse#visualising-conversation-topics)
    - [Mentions Panel](https://dataeq.com/knowledge-base/analyse#mentions-panel)
    - [Labelling Data](https://dataeq.com/knowledge-base/analyse#labelling-data)
    - [Filtering and Analysing Data](https://dataeq.com/knowledge-base/analyse#filtering-and-analysing-data)
- [Engage](https://dataeq.com/knowledge-base/engage#main-content)

    - [User Roles & Permissions](https://dataeq.com/knowledge-base/engage#user-roles-permissions)
    - [Reporting and Analytics](https://dataeq.com/knowledge-base/engage#reporting-and-analytics)
    - [Additional Features](https://dataeq.com/knowledge-base/engage#additional-features)
    - [Tips & Troubleshooting](https://dataeq.com/knowledge-base/engage#tips-troubleshooting)
    - [Ticket Management](https://dataeq.com/knowledge-base/engage#ticket-management)
    - [Getting Started](https://dataeq.com/knowledge-base/engage#getting-started)
    - [Working with Tickets](https://dataeq.com/knowledge-base/engage#working-with-tickets)
- [Publish](https://dataeq.com/knowledge-base/publish#main-content)

    - [Multi-Platform Publishing](https://dataeq.com/knowledge-base/publish#multi-platform-publishing)
    - [Getting Started with Publish](https://dataeq.com/knowledge-base/publish#getting-started-with-publish)
    - [Creating and Managing Content](https://dataeq.com/knowledge-base/publish#creating-and-managing-content)
    - [Campaigns and the Content Calendar](https://dataeq.com/knowledge-base/publish#campaigns-and-the-content-calendar)
    - [Approval Workflows](https://dataeq.com/knowledge-base/publish#approval-workflows)
    - [Reporting & Logs](https://dataeq.com/knowledge-base/publish#reporting-logs)
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