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Analyse des sentiments sur TikTok : comment faire (+ exemple réel pour 2026)

Mise à jour: February 27, 2026

8 min lire

TikTok sentiment analysis shows whether people talk about your brand in a positive, negative, or neutral way, based on video descriptions and comments.

In this guide, we’ll show you how to analyze TikTok sentiment step by step with a real brand example.

How to do TikTok sentiment analysis manually?

It may be tempting to do it yourself, but manual TikTok sentiment analysis isn’t recommended.

It’s not only inefficient but also often simply unrealistic to do accurately at scale:

Reason 1. It’s really hard to find every mention by yourself

TikTok notifies you when someone tags your brand, but many discussions happen without hashtags or @mentions, especially in the comments. Also, the products themselves can’t be “officially” tagged.

Reason 2. The volume of data is too high

Imaginez que vous passiez en revue des centaines, voire des milliers de TikTok mentionsIl s'agit de déterminer si elles sont positives, négatives ou neutres, puis de créer des rapports, le tout à la main.

The only reliable way to determine TikTok sentiment is to use AI-powered tools specifically designed for analyse des sentiments.

How to do TikTok sentiment analysis with AI tools?

You already know performing analyse des sentiments sur TikTok nécessite le bon outil.

Here’s how to check TikTok sentiment in Brand24. We’ll use Gisou (a haircare brand) as an example.

Étape 1 : Mise en place du projet de suivi et collecte des données

First, create a new monitoring project and add your keyword.

In this case: “Gisou”.

You can also add:

• Noms des produits (like “lip mask” or “hair oil”)
• Hashtags de campagne (like #honeypup)
• Noms des concurrents (like “Morrocanoil” or “Rituals”)
• Mots clés de l'industrie (like “hair care” or “skincare”)

If your brand operates globally, track all languages.

Once you create the project, Brand24 automatically starts collecting mentions.

To focus only on TikTok:

That’s it! From now on, you’re looking at TikTok-only data.

You can narrow it further using:

• Filtre de sentiment
• Localisation
• Importance score

This already saves hours. Instead of scrolling TikTok manually, you see everything in one place.

Étape 2 : Vérifier la répartition des sentiments

Ensuite, vérifiez votre sentiment d'appartenance à la marque sur TikTok. Il y a deux façons de procéder :

1. Utiliser le graphique des sentiments et comparez manuellement le nombre de mention négatives par rapport aux positives :

2. Vérifier le répartition des sentiments. Il calcule les valeurs en pourcentage pour les mention positives, négatives et neutres. Pour une vision plus claire, vous pouvez exclure les mention neutres :

As you can see in the sentiment breakdown, 96% of Gisou’s mentions are positive, and only 4% are negative.

Step 3: Ask the AI Brand Assistant what’s happening

After checking the sentiment charts, you might still wonder:

• Why did negative mentions increase?
• What caused this spike?
• What changed this week?

Instead of manually going through dozens of mentions, open Assistant de marque.

You can ask or say things like:

• “Why did negative sentiment increase on TikTok this week?”
• “What caused the spike on January 12?”
• “What are the most common complaints on TikTok?”
• “Summarize current TikTok sentiment.”

Brand Assistant analyzes your mentions and gives you a structured answer based on real data from your project.

This is especially useful when:

• You need a quick explanation before a meeting.
• You’re preparing a report.
• You notice something changed, but don’t yet know why.

Instead of scanning hundreds of comments manually, you get a summary that points you in the right direction.

Étape 4 : Vérifier les emojis

TikTok is heavily emoji-driven, so this is surprisingly helpful.

Brand24 extracts emojis from mentions and shows which ones appear most frequently.

In Gisou’s case, the ✨ emoji appears hundreds of times and is typically a sign of admiration or excitement.

If you suddenly start seeing more 🙄, 🤡, or 💀, that usually signals a tonal shift, often sarcastic or negative.

C'est not a standalone metric, but it adds context quickly, especially on TikTok, where tone can be subtle.

Step 5: Analyze topics around your brand

Now go to the Analyse des thèmes de l'IA tabulation.

This section shows what people are actually discussing about your brand.

For Gisou, one of the dominant topics is “beauty morning routines.”

If you wanted to analyze this topic, you’d see that:

• “Beauty morning routines” generated 257 mentions sur TikTok et a atteint 5.2M people.
• Son La part de voix compte pour 30.98% de toutes les discussions sur Gisou sur cette plateforme.
• La répartition des sentiments montre que 41% of mentions are positive, 56% are neutralet seulement 2% are negative.

That tells you something actionable: organic recommendations are driving positive sentiment.

If another topic shows rising mentions combined with increasing negative sentiment, that’s usually where you should focus first, whether it’s a product issue, shipping delays, or a controversial video.

Step 6: Monitor sentiment over time

Finally, use the Onglet Comparaison to track and analyze how sentiment evolves.

The TikTok sentiment around your brand or product can change in the blink of an eye:

A single influencer video can shift sentiment within hours. Other times, negativity builds slowly across multiple comments and stitches. But both can seriously harm your réputation de la marque!

By constantly monitoring sentiment changes on TikTok, you can:

• Repérer les drames avant qu'ils ne s'enveniment.
• Répondre rapidement aux mention positives pour construire une communauté forte.
• Transformez les commentaires des clients en informations exploitables en temps réel.

Looking at the period-over-period comparison, you can see that Gisou’s positive mentions keep increasing.

FAQ

Qu'est-ce que l'analyse des sentiments sur TikTok ?

L'analyse du sentiment TikTok détermine si les vidéos TikTok (plus précisément, les descriptions de vidéos) et les commentaires mention sur une marque, un produit, un hashtag ou un sujet spécifique sont positive, négative ou neutre.

It uses Natural Language Processing (NLP) and machine learning to automatically classify text, helping you understand overall brand perception without manually reviewing hundreds of comments.

Important: sentiment analysis works on text (captions and comments), not spoken audio in videos.

Pourquoi l'analyse des sentiments sur TikTok est-elle importante ?

TikTok users are direct. If something goes wrong, they say it, and often publicly.

Monitoring sentiment helps you:

• Detect negative trends before they escalate
• Identifier les plaintes récurrentes
• Mesurer l'impact de la campagne
• Respond to positive mentions
• Understand how your brand compares to competitors

Since TikTok influences product discovery and buying decisions, shifts in sentiment can directly affect sales and reputation.

What are the limitations of TikTok sentiment analysis tools?

TikTok sentiment analysis tools are very powerful, but they’re not 100% perfect.

Like all AI-based text analysis systems, they can sometimes struggle with:

• Sarcasm and irony
• Slang and evolving TikTok language
• Cultural nuances
• Emoji context
• Very short or ambiguous comments

For example, a comment like “Well… that’s interesting 💀” sometimes may require human interpretation to fully understand the tone.

However, while individual mentions can occasionally be misclassified, overall trends and percentage shifts remain reliable at scale. That’s why AI sentiment analysis works best when combined with reviewing high-impact mentions manually.

How can you use TikTok sentiment analysis for business decisions?

TikTok sentiment data supports practical business decisions.

Par exemple :

• A spike in negative sentiment may indicate a product issue or a controversial video.
• A rise in positive mentions after a campaign confirms that messaging is resonating.
• Topic-level sentiment shows which discussions drive praise or criticism.
• Period comparisons help evaluate influencer collaborations.

Instead of relying on assumptions, you can base decisions on real conversation data.

How often should you check TikTok sentiment?

For active brands, reviewing sentiment weekly is a minimum.

During product launches, influencer campaigns, or PR-sensitive situations, daily monitoring is recommended.

Alertes en temps réel help you react quickly when mention volume or sentiment changes unexpectedly.