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AI Sentiment & AI Emotion Analysis in Mentionlytics
AI Sentiment & AI Emotion Analysis in Mentionlytics
Eva avatar
Written by Eva
Updated this week

Mentionlytics is a social listening and brand monitoring platform that uses AI to detect and interpret the sentiment and emotions behind online mentions of your brand, competitors, or any keywords you track. Below are some key AI sentiment and emotion analysis features you’ll find in Mentionlytics:

  1. AI-Based Sentiment Classification

  • Positive, Negative, or Neutral Categorization: Automatically determine whether mentions are supportive, critical, or neutral toward your brand or topic. This helps you quickly identify areas that need attention or amplification.

  • Real-Time Updates: Mentions are analyzed as soon as they appear on social media, blogs, news sites, and other online sources, enabling swift responses and proactive brand management.

2. Emotion Detection

  • Deeper Emotional Insights: Go beyond general sentiment to detect emotional states such as anger, joy, sadness, fear, and our newest emotion, sarcasm. This level of granularity helps clarify not just what your audience feels, but how strongly they feel it.

3. Alerts and Automations

  • Real-Time Notifications: Get alerted when there’s a surge in negative sentiment or strong emotions, letting you respond proactively.

4. Competitor Benchmarking

  • Side-by-Side Comparisons: Compare sentiment and emotion metrics for your brand versus competing brands, allowing you to see where you stand in your industry.

Note: AI sentiment analysis is automatically active on every subscription plan, including the trial version of the tool, whereas the emotion analysis is active on trials and customers from advanced plans upwards.

What is our competitive advantage regarding AI sentiment analysis?

  • Context: It understands the content and its meaning, making it more intuitive.

  • Target: Depending on the keyword, the sentiment adjusts accordingly. For instance, in an ambiguous post that says something positive about one thing and negative about another, the sentiment will align with the specified keyword.

  • Comprehensive in Comments: It now considers both the keyword and the context of the post in which the comment was made, rather than just analyzing the comment in isolation.

  • Irony Detection: We now recognize irony and record it as the emotion: Sarcasm.

  • Initial results are highly encouraging, demonstrating up to 99% accuracy in our analyses.

In Practice

Mentionlytics classifies sentiment the following way:

The green smiley face reflects a positive mention, the red one is negative and the gray face indicates the mention is neutral.

We also have different representations for the various emotions of your mentions, segmented as follows:

Does sentiment analysis work in all languages?

Yes, Mentionlytics performs sentiment analysis in almost all languages using state-of-the-art deep learning algorithms. It is extremely rare that a language is not supported by our system. If, however, you cannot see sentiment analysis of your language in our mention results, please talk to us, and we will most certainly resolve the issue.

How to identify the sentiment and the emotion in my mentions?

From every mention directly, you will find the sentiment at the bottom. There is an option to switch the sentiment/emotion at your discretion by clicking the face emoji if you do not agree with the automatic sentiment/emotion being applied.

How can I filter and see separately only my positive/negative/neutral mentions?

Through the Filters Bar in your Overview Dashboard, you can find the Sentiment filter and check the ones you wish to filter and have a look at.

The graph in the Overview traces the changes in sentiment along a given period and shows the peaks of positive and negative mentions. If you click on each of the dots in this graph, you will be able to see the conversation that has triggered the peak.

Under the Top keywords menu, you can see different keywords and topics and their overall sentiment regarding your main keywords (brand name, competitors, etc.)

Under Top Mentioners you can also find the leaders of conversation mentioning your main keyword (e.g. brand name) and their attitude towards it.

Important tool:

If you would like to stay on top of the negative mentions, you can set up notifications and Mentionlytics will send you emails when there is an increase in negative mentions.

(Ask the support team on the live chat or your Account Manager directly via email to help you with setting up notifications.)

Lastly, in the share of voice report, you can see the share of positive, negative, and neutral mentions compared to your competitors

If you have additional questions or need assistance, please contact our support team.

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