Introducing Brand Sentiment Analysis - Now Smarter and More Brand-Specific
Finally — Sentiment Analysis That Gets Your Brand
We’ve heard your feedback: you want sentiment analysis that’s more specific, more contextual, and truly brand-aware.
One that goes beyond linguistic sentiment and reflects how comments impact your business. That’s why we’ve upgraded to Brand Sentiment Analysis.
Why traditional sentiment analysis wasn’t enough
Traditional sentiment analysis is linguistically accurate — but that was not always helpful for brands. It focuses on the sentiment behind words, not their brand-specific meaning.
Example:
Well of course you have to pay for it, but I do suggest you break your piggy bank!
Traditional Sentiment Analysis: Negative sentiment (focuses on “have to pay”), so it's linguistically negative.
Reality for Brand: Positive impact (customer praises the product's value), so it's tagged as positive.
In these cases, the analysis misses the point. What sounds linguistically negative might actually reflect a positive experience for the brand.
So, we upgraded our sentiment analysis.
What Changes with This Upgrade?
Brand Context First: Comments are assessed for their true impact on your brand, even if the language sounds negative.
Business Relevance: It identifies whether a comment supports or detracts from your business goals.
Industry-Specific Insights: Captures nuances that matter within your industry or niche.
Sarcasm and Subtext Detection: Understands deeper meanings, like jokes or sarcasm, that traditional tools often miss.
Comparing Traditional vs. BrandBastion's New Brand Sentiment Analysis
Traditional models assume that all positive-sounding comments are good and all negative-sounding ones are bad. It doesn’t consider how the comment ties into your brand perceptions or what your target audience is really saying.
Comment Example | Traditional sentiment analysis | BrandBastion's New Brand Sentiment Analysis | Why did it change? |
|---|---|---|---|
"Well of course you have to pay for it, but I do suggest you break your piggy bank!" | Negative | Positive | It's a positive message about the product’s value rather than the cost. |
"These headphones ruined all other headphones for me." | Negative | Positive | Detects sarcasm and recognizes the positive intent of the comment. |
"I love Teslas." on Ford's post (posted on a Ford's post) | Positive | Negative | Praise for the competitor, and the impact on your brand is negative. |
"I really need someone to help with yard work!" (posted on a gardening services company) | Neutral | Positive | Recognizes the comment’s relevance to the landscaping industry, making it actionable. |
"Everyone should have a dog" (posted on a beauty brand's post) | Positive | Neutral | Unrelated to your brand or industry |
"I don’t mind dogs but they do nothing for me." (posted on a pet care brand's post) | Neutral | Negative | Captures how disinterest in dogs impacts the pet care brand negatively. |
Why This Matters
This upgrade ensures that sentiment reflects brand impact rather than just language. With Brand Sentiment Analysis, you’ll gain:
Actionable Insights: Understand how comments impact your brand and business directly.
Sharper Focus: Filter out irrelevant or linguistically “correct” sentiment to focus on meaningful feedback.
Competitive Clarity: See how your audience feels about your brand compared to competitors.
This upgrade was built with your feedback—so you can focus not just on what’s being said but what it means for your brand.
What Marketers Can Do With Brand Sentiment Analysis
Optimize Campaigns: Craft messaging that resonates with the true sentiment of your audience.
Fine-Tune Customer Service: Respond in ways that strengthen brand loyalty and trust.
Stay Ahead of Competitors: Act on insights about how your brand is perceived versus others.