Instagram Sentiment Analysis: Guide with Examples [2026]

Updated: February 27, 2026
10 min read

Instagram sentiment analysis shows how people feel about your content, based on their posts and comments.

This article is your handy guide to Instagram sentiment based on a real brand example.

Key takeaways

  • What is Instagram sentiment analysis?

    It’s the process of classifying Instagram mentions as positive, negative, or neutral based on posts, comments, captions, and hashtags.

  • What data does it analyze?

    Public posts, comments, brand mentions, and hashtags. Private DMs are not included.

  • Can you check sentiment in Instagram’s native analytics?

    No. Instagram shows engagement metrics, but not emotional tone. Sentiment analysis requires external tools.

  • Why does sentiment matter?

    It helps you understand public perception, detect reputation risks early, and measure how campaigns affect brand image.

  • Is neutral sentiment bad?

    No. Most brand mentions are neutral. Focus on changes in positive and negative ratios over time.

  • How accurate is AI sentiment analysis?

    It’s highly reliable for large datasets but may struggle with sarcasm or complex language.

  • How often should you monitor sentiment?

    Regularly. Weekly tracking is recommended, and daily monitoring during campaigns or sensitive periods.

What is Instagram sentiment analysis?

Instagram sentiment analysis is a process of analyzing Instagram data (posts, comments, and captions) to understand whether the sentiment is positive, negative, or neutral. Instagram sentiment analysis helps marketers to protect their brand image. It enables them to understand public perception and discover what emotions their target audience feels about their brand.

Instagram sentiment analysis involves determining the sentiment behind posts, comments, and other content on Instagram.

It’s all about uncovering whether users are:

  • Positive
  • Negative
  • Neutral
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Let’s take a look at a few mentions of Ryanair:

  • Positive mention: “Only 5 of us on a flight home from #morocco thank you to amazing crew with Ryan air such fun #flatless #lovelife #Ryanair #ryanaircrew.”
  • Negative mention: “OMG Ryanair almost crashed in Europe. #ryanair #europe #crashlanding”
  • Neutral mention: “Have you ever imagined what it’s like inside the cockpit of a Boeing 737?”

These examples show how Instagram sentiment analysis can uncover varied perspectives, from customers praising great cabin crews to concerns about safety or neutral aviation enthusiasm.

Instagram is a highly visual platform, and sentiment analysis can give you invaluable data about how users perceive you. 

Why is sentiment analysis important?

  • Brand reputation monitoring: You can detect spikes in negative sentiment and address issues before they escalate into realPR crises.
  • Customer insights: Understand what customers like or dislike about your brand and improve it accordingly to boost customer satisfaction.
  • Campaign effectiveness: Measure how marketing efforts impact your sentiment.
  • Competitor analysis: Compare your sentiment against competitors to identify strengths and weaknesses.

By identifying and analyzing sentiment trends, you can stay one step ahead in managing your online reputation!

Why is sentiment analysis important?
Because numbers alone don’t tell the full story. You can track reach, clicks, or mentions — but without understanding the emotional tone behind them, you’re missing the context that really matters. Sentiment analysis allows brands to decode how people feel about their experiences, not just what they say. As a CMO and marketing consultant, I use it to shape strategy across messaging, product development, and brand perception. It’s a crucial tool to anticipate shifts in audience behavior, prevent reputational risks, and build brands that truly connect — not just communicate.
Jorge Hoth
Fractional CMO & Advisor

How to do Instagram sentiment analysis?

The most efficient way to perform Instagram sentiment analysis is by using AI-powered tools. These tools can process thousands of mentions, identify patterns, and do it all within the blink of an eye!

Here’s how they work:

They use natural language processing (NLP), opinion mining, and machine learning to analyze digital text. These technologies enable tools to interpret the emotions expressed within the text.

They analyze mentions from publicly available sources and do the whole analysis for you.

The best thing about them is how they can easily go through a lot of mentions within seconds. For us humans, it’s a really time-consuming task.

Take Ryanair – they got over 15K mentions in just 3 weeks!

When we talk about such a vast amount of data – it’s impossible to conduct the Instagram sentiment analysis manually.

AI sentiment analysis tools sound like a dream, huh?

But it can face some challenges.

There are some language nuances that are hard to interpret for sentiment analysis algorithms – take sarcasm, for example.

AI-based tools might not interpret such mentions correctly.

Instagram sentiment analysis example

Here’s how you can perform sentiment analysis on Instagram in 6 easy steps using Brand24, an AI-powered social listening tool:

Step 1: Set up the monitoring project and collect data

The first step is setting up your monitoring project. Start by tracking relevant keywords such as your brand name, hashtags, or specific products.

For Ryanair, I monitored mentions containing “Ryanair”.

Once your project is live, let the tool gather relevant data, including Instagram data. Give it some time to ensure it finds all mentions. 

This is super important – otherwise, your whole analysis might not be relevant.

You can filter your results by:

  • Sentiment
  • Source
  • Location
  • Language
  • Intent
  • & more!

I wanted to focus on Instagram, so I added an “Instagram” filter in sources:

You can find it in the Mentions tab in the right corner.

Here’s what it looks like for Ryanair:

You can click on the specific part of the timeline to check the number of mentions and reach of this specific day.

And easily manipulate between the sentiments. Here’s what the chart looked like when I added the “positive sentiment” filter:

It’s also in the right corner, just below the sources:

Step 2: Check the sentiment breakdown

Let’s now move on to the more detailed sentiment analysis.

Tools like Brand24 provide you with sentiment charts that make it easy to get a snapshot of how your audience feels.

There are two main ones you should know.

  1. Sentiment over time
  2. Sentiment breakdown

The sentiment over time is perfect if you want to monitor trends, seasonal patterns, or check if any specific campaign impacted your sentiment.

I start with switching the chart view from “Mentions & Reach” to “Sentiment”. This gives me the timeline of how the sentiment changes over time.

To narrow the results to Instagram only, add the “Instagram” filter to the sources.

You’ll see two lines: green for positive and red for negative sentiments.

Here’s what it looks like for Ryanair:

If you click on a specific day, you’ll see the exact number of positive and negative mentions.

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The sentiment breakdown gives you an overall idea of how you perform and how your brand is perceived online.

How do I find it?

Just go to the Analysis tab and scroll down to the “Sentiment breakdown.”

This feature shows the percentage of positive, negative, and neutral mentions in an easy-to-digest visual format.

This is the chart I got for my Ryanair sentiment analysis:

So, 33% of its Instagram mentions were positive, 2% negative, and the rest neutral.

Speaking of Ryanair, those are some great results to work with!

Step 3: Check the emojis

Ok, please don’t judge yet, and let me explain.

Emojis can be your hidden gem!

They express emotions beyond words and are actually often overlooked in sentiment analysis. People use them to express their feelings.

With media monitoring tools that conduct emoji analysis, you can see which ones dominate your mentions and make your sentiment analysis even more in-depth.

Here’s what it looks like for Ryanair in Brand24:

To find your emoji analysis in the tool – go to “Analysis” and scroll all the way down to find “Emoji analysis”.

The larger and more central an emoji is on the map, the more frequently it’s used.

For Ryanair, it’s the Italy flag and a plane…

Does that mean that most of the travels using the airline are to the pasta kingdom?

Step 4: Dive into topics

Data freak is your nickname? This step is for you.

In Brand24, you can identify the most frequently discussed topics about your brand and narrow your sentiment analysis to those specific topics.

Topic analysis highlights key themes, showing the number of mentions, their reach, sentiment, and more.

For example, my Ryanair project revealed “European Travel Experiences” as a popular topic.

And here’s what I learned from this analysis:

  • How many times has the topic been mentioned? 413
  • How many people has the topic reached? 1.9M
  • How many conversations about Ryanair are related to this topic compared to other topics? 28,88%
  • What sentiment does this topic generate? 59% positive, 37% neutral, 4% negative

You can use topic analysis to focus on what matters most to your customers and craft campaigns that boost engagement and brand loyalty!

Step 5: Track the sentiment over time

Finally, you need to remember that sentiment analysis isn’t a one-and-done task.

Monitoring audience sentiment trends over time helps you detect sudden spikes or drops.

For instance, a viral post or a product issue can quickly alter sentiment, and staying on top of these changes lets you act fast and protect your digital reputation.

I like to use the Compare periods feature for that.

You can find it in Comparison > Compare periods.

It gives you a quick overview of how your brand performs over specific periods and compares them.

As you can see, the number of positive mentions increased by two p.p., and the number of negative ones – dropped by five p.p. for Ryanair.

Why should you constantly monitor the sentiment on Instagram?

  • Quickly spot shifts in sentiment and join positive trends.
  • React to negative sentiment before it escalates into a PR crisis.
  • See how specific campaigns influence overall sentiment.
  • Benchmark your sentiment against competitors to identify strengths and weaknesses.
  • Use ongoing data to refine your content and marketing strategies for better results.

For more insights on tracking conversations and mentions across Instagram, see our guide on Instagram Social Listening

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Conclusion

Instagram sentiment analysis helps you understand how your audience feels about your brand, content, and products.

Perform sentiment analysis to spot potential problems early, engage better with your audience, and improve your brand presence.

Final thoughts:

  • Regularly monitor Instagram sentiment to understand trends and see how your campaigns impact sentiment.
  • Use AI sentiment analysis tools to make your social media sentiment analysis faster and more accurate.
  • Protect your brand by quickly addressing issues.

FAQ

How do I check sentiment on Instagram?

Instagram doesn’t provide built-in sentiment analytics. To analyze sentiment, you need a social listening tool that collects public posts and comments and classifies them as positive, negative, or neutral using AI.

What data can be analyzed in Instagram sentiment analysis?

Sentiment analysis typically includes:

  • Post captions
  • Comments
  • Mentions of your brand name
  • Branded hashtags
  • Public discussions

Private messages (DMs) cannot be analyzed unless users provide direct access.

How accurate is Instagram sentiment analysis?

AI-powered tools are highly accurate for clear emotional language. However, sarcasm, slang, humor, and cultural context can sometimes affect classification. The larger the dataset, the more reliable the overall trend insights become.

What is a good sentiment ratio on Instagram?

There’s no universal benchmark, but strong brands often maintain:

  • High neutral volume (normal conversation)
  • Steady positive sentiment
  • Low and stable negative sentiment

What matters most is trend direction, improving sentiment over time is a strong indicator of brand health.

Why is my Instagram sentiment mostly neutral?

Neutral sentiment is common and healthy. Many mentions are informational rather than emotional. Focus on increasing positive engagement while monitoring sudden spikes in negativity.

How often should I monitor Instagram sentiment?

For active brands, weekly monitoring is recommended. During campaigns, product launches, or potential crises, daily monitoring provides better protection and insight.

Content Specialist and Social Listening Expert at Brand24
76 published articles
Magda is a Content Specialist and Social Listening Expert experienced in strategy, analytics, and content creation. When not writing, she's doing social media or building communities.
76 published articles

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