Sentiment Overview Widget

The Sentiment Overview Widget gives you a clear, real-time snapshot of how your audience feels about your brand, campaigns, or topics. Powered by AI-driven sentiment analysis, it automatically classifies each post or publication into Positive, Neutral, or Negative sentiment, then aggregates the results into an easy-to-read visual summary.

What It Does

The widget transforms raw conversations into structured sentiment insights that you can act on.

With this widget, you can:

• Monitor brand perception at scale across multiple channels 
• Identify sentiment trends and shifts over time 
• Detect early warning signs from rising negative sentiment 
• Evaluate campaign performance based on audience reactions 
• Compare sentiment across campaigns, tags, or channels 

By turning unstructured data into clear sentiment signals, you can make faster, more confident decisions across marketing, PR, and customer experience.

Data Type Options

You can analyze sentiment from different perspectives depending on your analysis needs:

1. Sentiment by Overall Sentiment – Displays the overall distribution of Positive, Neutral, and Negative sentiment. Best used for a quick snapshot of your brand’s overall perception
2. Sentiment by Campaign/Tag – Breaks down sentiment across selected campaigns or tags. Helps you compare performance and audience response between different initiatives.
3. Sentiment by Channel – Shows how sentiment varies across platforms (e.g., social media vs mainstream media). Useful for identifying channel-specific strengths, weaknesses, or emerging issues.

Metrics

You can switch between different metrics depending on your analysis goal:

• Buzz – Measures overall conversation volume (engagement-weighted) 
• Mentions – Counts total number of posts/publications 
• Comments – Focuses on audience interaction and responses 

Visualization Types

• Stacked Chart – Compare sentiment distribution across categories 
• Table View – Detailed breakdown for reporting and export 

Supported Languages

The sentiment engine supports multiple languages to ensure accurate regional analysis:

• English 
• Bahasa Indonesia 
• Thai 
• Malay 
• Tagalog 
• Vietnamese

Channels Applicable

This widget supports:

• Social Media Channels 
• Mainstream Media (Online, Print, TV, Radio) 
• Forums & Blogs 

Availability depends on your campaign setup and data coverage.

Use Cases

Brand Health Monitoring

Track how your audience perceives your brand over time.
Example: A steady increase in negative sentiment may indicate growing dissatisfaction or potential PR risks.

Campaign Performance Analysis

Measure how your campaigns resonate with your audience.

Example: A successful campaign is typically reflected by a higher proportion of positive sentiment.

Crisis Detection & Management

Identify potential issues early before they escalate.

Example: Sudden spikes in negative sentiment can signal emerging crises that require immediate attention.

Competitive Benchmarking

Compare sentiment between your brand and competitors.

Example: Identify gaps where competitors are perceived more positively and uncover opportunities to improve your positioning.

Product & Customer Experience Insights

Understand customer feedback on your products or services.

Example: Clusters of negative sentiment may highlight recurring product issues or service gaps that need attention.