Sentiment Analysis | Track Brand Perception in Real Time | BrandJet AI

Sentiment Analysis

Know If People Love You or Hate You

Every mention gets scored. Positive, negative, or neutral. See how people feel about your brand at a glance and track how that changes over time.

Benefits

What Sentiment Analysis changes in the workflow

The specific jobs Sentiment Analysis helps a team complete.

Instant Mood Check

Each mention gets a sentiment score automatically. No manual tagging. No guessing. Just clear positive, negative, or neutral labels.

Track Trends Over Time

See how sentiment shifts week over week. Catch reputation changes before they become crises.

Spot Problems Early

A spike in negative mentions? You'll see it immediately. Jump in before complaints go viral.

Compare Against Competitors

Track competitor sentiment alongside yours. See who's winning the perception game.

More Than Just Keywords

Old school monitoring counts mentions. That tells you volume, not opinion. We analyze the actual language to understand whether someone is praising you, complaining, asking a question, or just mentioning you in passing. Context matters.

AI powered analysis of full message context
Detects praise, complaints, questions, neutral references
Confidence scores so you know how certain the analysis is
Works across languages and slang

Watch Sentiment Move

One angry tweet doesn't matter. A hundred in a week does. We chart your sentiment over time so you can see patterns. Product launch went well? You'll see the positive spike. Service outage? You'll see the dip. Correlate what you do with how people feel.

Daily, weekly, and monthly sentiment charts
Filter by platform, topic, or time range
Compare periods: this month vs last month
Export data for reports and presentations

Prioritize What Needs Attention

You can't respond to everything. Filter your mentions by sentiment to tackle the urgent stuff first. See all negative mentions from the past 24 hours. Respond to complaints before they escalate. Then move to the positive ones to say thanks.

Filter mention feed by sentiment
Sort by most negative first
Combine with reach to prioritize high impact complaints
Set alerts for negative sentiment spikes

Process

Set up Sentiment Analysis step by step

Follow the working sequence from initial configuration to the next action.

Mentions Come In

We pull mentions from X, Reddit, YouTube, news sites, and more. Every mention enters the analysis pipeline.

AI Reads the Context

Our model analyzes the full text, not just keywords. It understands sarcasm, mixed feelings, and nuance.

Sentiment Gets Scored

Each mention is tagged positive, negative, or neutral. You also get a confidence score for transparency.

You See the Big Picture

Your dashboard shows overall sentiment, trends over time, and breakdowns by platform or topic.

Use Cases

Sentiment Analysis use cases by team

See where this capability fits and which team owns the resulting workflow.

PR Teams

Track how campaigns land. See if that press release shifted sentiment. Catch negative coverage before it spreads.

Product Teams

Monitor sentiment around feature launches. Happy users? Ship more of that. Frustrated users? Time to dig in.

Customer Support

Prioritize angry mentions. Respond to complaints first. Turn negative experiences into recovery stories.

Executives

Get a weekly sentiment report. Understand brand health without reading every mention yourself.

Key Stats

3 sentiment categories
Real time analysis speed
85%+ accuracy rate
90 days trend history

"We launched a pricing change and watched sentiment in real time. Saw the negative spike within an hour. Adjusted messaging the same day. By end of week, sentiment was back to normal. Without this, we would have found out from Twitter screenshots in a news article."

— Rachel T., VP Communications, SaaS Company

FAQ

Common questions about Sentiment Analysis

How accurate is the sentiment analysis?

Our model is accurate on the majority of mentions. It handles straightforward praise and complaints well. Sarcasm and mixed sentiment are harder, which is why we show confidence scores. If we're not sure, you'll know.