Polarity and subjectivity
Classify mentions as positive, neutral, or negative while understanding how opinionated the content is.
Sentiment
Understand how people feel and what is driving that feeling.
Kommon Poll combines sentiment classification with topic, source, and mention-level context so teams can see not only whether conversation is positive or negative, but why.
Kommon Poll intelligence view
Live signal scan
SignalPositive, neutral, negative split
SignalAspect-level sentiment
SignalNegative driver discovery
SignalSentiment by platform and time
Why it matters
Sentiment is most useful when it is connected to the reason behind it.
A single sentiment score does not tell the full story. Negative conversation may be caused by pricing, delivery, product quality, service experience, misinformation, or competitor comparisons. Positive sentiment may come from campaigns, customer stories, influencers, or product strengths.
Kommon Poll helps teams analyze sentiment with context. It links emotional tone to topics, platforms, authors, and specific mentions so teams can take action instead of simply watching a score move.
This supports reputation management, campaign evaluation, customer experience, product feedback, and competitor analysis.
Polarity and subjectivity
Classify mentions as positive, neutral, or negative while understanding how opinionated the content is.
Sentiment trends
Track how sentiment changes over time and whether changes align with campaigns, issues, or competitor activity.
Omni-channel comparison
Compare sentiment across social, reviews, news, forums, app stores, and other sources.
Capabilities
What your team can do with Kommon Poll.
Each workflow combines monitoring, filtering, AI interpretation, and reporting so the page is useful beyond a simple feature description.
Sentiment trends
Track how sentiment changes over time and whether changes align with campaigns, issues, or competitor activity.
Omni-channel comparison
Compare sentiment across social, reviews, news, forums, app stores, and other sources.
Aspect-based sentiment
Understand sentiment around specific themes such as service, price, quality, delivery, or product features.
Negative mention detection
Surface high-risk complaints, recurring issues, and posts that may need urgent review.
Entity-level analysis
Measure how sentiment differs across products, locations, competitors, people, or campaigns.
Use cases
Practical ways to apply this workflow.
Use these examples as starting points for configuring searches, alerts, dashboards, and reports around the outcomes your team needs.
Workflow
A clearer path from public data to action.
Kommon Poll is designed to make public conversation easier to operationalize: define the scope, collect the signal, interpret the pattern, and share what matters.
01
Collect relevant mentions
Gather brand, competitor, campaign, product, and topic conversations.
02
Classify sentiment and context
Assign sentiment while linking each mention to themes, sources, languages, and entities.
03
Find the drivers
Identify the topics or posts most responsible for positive and negative movement.
04
Act on the insight
Escalate issues, amplify praise, adjust messaging, or brief stakeholders.
Common questions
What teams usually ask about sentiment analysis.
Is sentiment analysis always perfect?
No automated sentiment model is perfect, especially with sarcasm, slang, and mixed-language posts. Kommon Poll uses AI and context to improve interpretation, but review is still important for high-stakes decisions.
Can sentiment be analysed by topic?
Yes. Topic and aspect analysis helps reveal what is causing positive or negative sentiment.
Can it handle multilingual mentions?
Yes. Kommon Poll is designed for multilingual environments and can support sentiment analysis across supported languages and regional expressions.
Related workflows
Explore more ways to use Kommon Poll.
Connect this page with adjacent workflows so users can understand the broader value of public conversation intelligence.
Get started
Move from sentiment score to sentiment strategy.
Use Kommon Poll to understand what people feel, why they feel it, and where your team should act.