It can also encompass other digital platforms, reviews, articles, etc. This information can then be used for marketing, growth, and brand loyalty purposes.
But how do you carry out a social media sentiment analysis, what can you do with the findings, and what obstacles may you need to navigate? Discover all of this, and more, in our complete breakdown of this crucial part of social media reporting.
With social media sentiment analysis, you’re basically eavesdropping on conversations people are having about your brand online and using that knowledge in a constructive way. It’s often referred to as social listening and/or opinion mining.
If that sounds like a lot of man hours and money, don’t panic, because there are AI driven tools available that can do this for you.
Short answer? All of them. Brands should ideally be looking out for mentions on the big social media platforms – Instagram, Facebook, Twitter, and TikTok.
You can also monitor third-party sites such as Google Reviews and Reddit, and if you have an e-commerce site with reviews, then these can prove invaluable if you pay close attention to what buyers are saying.
Due to the scale of online mentions, sentiment is analysed with broad strokes, because there are so many different emotions that fall under this particular umbrella. Emotions are not an easy thing to measure, but if you split them into good, bad, and neutral categories, you can work out if your brand is being perceived in a positive light.
When you begin your social media sentiment search, you’ll need to choose phrases to search for. In some cases, these will be industry specific; otherwise, they’ll be positive or negative.
Sprout Social gives the below as an example of some positive and negative social sentiment terms:
Searching a bunch of terms like this doesn’t always give you the full picture, so you need to double-check your mentions. For example, an ironic statement such as ‘I hate that I want to eat X all the time’, might get alarm bells ringing, but in this instance the word ‘hate’ isn’t really negative.
You can track social media sentiment manually (see below for how to do it), but it can be a laborious process. If you want a tool to do the hard graft for you, here’s our pick of the best social media sentiment analysis tools on the market today:
Social media sentiment analysis gives brands information that they can utilise to their advantage. It enables you to:
Let’s talk heated seats… ⤵️
— BMW USA (@BMWUSA) July 14, 2022
If you’re not ready to invest in stand-alone social media sentiment analysis tools, it’s possible to do the job manually or with the help of tech that you’re already using.
Hootsuite suggests the following three steps when it comes to social media sentiment analysis:
You may want to drill down further by including specific product or service names in your search, to check which ones your target customers are most and least keen on and why.
The only way to improve your social media sentiment, i.e. the way your brand is perceived, is to respond to the findings and use them to generate a more positive response. Hootsuite suggests the following:
You can use the information gathered from social media sentiment analysis to improve your marketing strategy. Get started with Vamp to amplify your content and make your business famous for all the right reasons.
Evaluating sarcasm and irony is challenging for sentiment analysis tools because these often rely on literal interpretations of words. Advanced machine learning models, like those using natural language processing (NLP), can improve sarcasm detection by analysing context, tone, and patterns within conversations.
Brands can enhance accuracy by training algorithms on specific data sets that reflect their audience’s linguistic nuances or by combining automated analysis with human review to capture subtleties that AI might miss.
Responding to negative sentiment requires careful consideration of tone, language, and timing. Brands should respond promptly to acknowledge the issue, while maintaining a respectful and empathetic tone.
Personalisation is key—avoiding automated responses helps to show that the brand values the individual’s feedback. Additionally, offering solutions or addressing the concerns publicly demonstrates accountability, while more sensitive issues may be best handled privately to prevent escalation.
The ideal frequency for sentiment analysis depends on the brand’s social media activity and the volume of user interactions. For brands with active communities or campaigns, real-time or daily analysis ensures swift responses to emerging trends.
However, smaller brands may opt for weekly or monthly assessments. During high-stakes events, launches, or crises, more frequent monitoring is crucial to maintain control over brand reputation and adjust strategies quickly.
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