Moving the Sentiment Analysis Further: Introducing aspect-based analysis

In a nutshell, aspects are characteristics of the product/service about which users can express their attitudes. Aspect-based sentiment analysis is a finely-crafted model that allows brands to automatically break down customer feedback, determine the public's opinion, and allocate the aspect on a sentiment level. You can confidently rely on and trust this data because the accuracy of defining the aspect is 85-90%, while the accuracy of defining the sentiment of the aspect is higher than 95%.

While fundamental sentiment analysis provides you with the overall sentiment of the monitored topic, the new feature allows you to see which particular aspect of your product/service generated this attitude. Therefore, you can see individual sentiment towards your product taste, price, service, quality, and other popular characteristics customers discuss.

Moreover, YouScan provides you with an opportunity to apply various filters and dive deeper into details to see how aspects vary depending on geography, gender, age, language, and other filters. Aspect analysis allows you to instantly identify potential risks for your business and take action straight away. However, you can also discover your strengths and what customers love about your brand.

1. The brand gets closer to customer opinion, finds insights, and boosts customer-centric experience

Usually, when analyzing product or service reviews' sentiment, you'll want to know which particular aspects or features people are mentioning in a positive, neutral, or negative way. You want to see customers' pain points and instantly address them. The new feature allows you to choose one particular aspect, hone in on the details, and get a complete picture of your customers' opinions, expectations, and complaints.

The convenient interface of sentiment analysis provides brands with an opportunity to detect trends and find insights around one particular aspect. You can also apply various filters and play with visual insights, auto-categories (WOM, articles, promotions, etc.) to uncover ideas and inspiration for your next marketing campaigns. Sometimes you have to look beyond your brand and get to know your audience intimately.

2. Analyzes the competitor's strengths and weaknesses

Aspect analysis helps you to compare your brand's features with those of your competitors. You can detect the flaws in your product and work on improvements. Moreover, you understand your strengths and get insights on how to promote them more efficiently.

3. Prevents or deals with a potential crisis effectively

A spike in negative sentiment around a particular aspect requires a prompt reaction. You can now apply various filters to find the root of the problem and create an emergency plan to fix this negativity. Without aspect analysis, it's more challenging to detect the spike's reason, which leads to a delay in the solution of the issue and can undermine customer loyalty and brand health.

4. Saves time and organizes data

The raw collected data from social networks is unstructured and unorganized. You get a vast amount of mentions from chats, social media conversations, articles, etc., but it's hard to analyze and sort through, not to mention that it's time-consuming and expensive.

Let's dive into the particular case to understand the full potential of the new feature.

Imagine you're Starbucks. In the analytics dashboard, you click on the aspect tab and find the sentiment by aspect graph. Here, the first 5 aspects on the radar chart are related to the highest percentage of mentions where Starbucks was discussed by its target audience. Let's get into the finer details.

In the time period from 12.02.2020 to 12.03.2020, taste, price, service, design, and quality were the top 5 aspects of Starbucks that people talked about.

It's no wonder that Starbucks has a high percentage of positive mentions, especially regarding taste, design, and quality — but every business is interested in improving its product. Thus, it needs to know not only the praise, but also the customers' worries, complaints, and suggestions.

The chart reveals that people have complained the most about service (26% of negative mentions) and price (20%). The new feature allows you to discover what exactly caused this negative attitude.

Simply filter out the mentions by negative sentiment and choose only the aspects with high negative sentiment.

Afterward, you can see what sparked negative sentiment among Starbucks customers by filtering out these particular aspects. Some customers were unhappy about the overpriced coffee and the taste.

YouScan is striving to be better for our clients, and we're working hard on honing our features to empower brands with unique social listening capabilities. YouScan is already offering more services than a simple social media monitoring tool - with this new feature, you can conduct research that generates qualitative and quantitative results. We believe that aspect-based sentiment analysis is another victory for our team and your brand analysis's success!

Still don't monitor your brand on social media? Request a YouScan demo now!