Topics, Sentiments and Emotions in One Dashboard

Our proprietary AI turns your texts into clear insights you can actually work with. With AlfaSent you no longer need to read every bit of customer feedback.

The visual start with a drawing of a woman sitting at a laptop, with her review appearing in a text balloon on top. The review says "Beautiful store and super helpful staff, unfortunately the delivery times are way too long." Next, the image of the woman is slid to the right side and the topics (Shop, staff, delivery time) appear, followed by the sentiments (positive & negative), and emotions represented by smiley faces (satisfaction, joy, sadness). This process then repeats for a man whose review says "Friendly staff, the location was superb! But there were still some hais in the shower!!" The categories are staff, location, cleanliness. Then two positive sentiments and one negative and finally Satisfaction, Joy and Disgust as emotions.

Topic Recognition

No more high-level text analysis which still leaves you reading to get more detailed insights. Are your customers talking about the price of your product or the quality? The friendliness of your staff or service? Our fine-grained categories are tailored to each industry and provide all the insights you need

This visual shows topics related to the various industries. The topics are represented with icons. First for hotel (room; bathroom; food;. price, cleanlines,...). Then for restaurant (food, staff, price, time,...) and finally for retail (product, packaging, staff, price, location,...)
A word cloud with words related to a restaurant experience (service, restaurant, waiting times,...)

Term cloud

We believe that context is everything, that is why we also extract which words your customers use. Relevant terms provide deeper insights into what matters to your customers. 

Sentiment

For each topic, we can tell you whether your customers are talking about it in a positive or a negative way. That’s right, no vague sentiments on sentence or review level, but a sentiment for each topic that is mentioned in a text.

By using a five-point sentiment scale, ranging from very positive to very negative, you get even more insights into what truly enlightens your customers, or what doesn’t.

A pie chart with a representation of 5 emotions: positive, very positive, negative and very negative.
Smileys representing various emotions popping up (anger, statisfaction, joy, sadness,...)

Emotion

Emotions offer an extra layer of information on top of the sentiments. This way, you can quickly see which topics trigger strong emotions among your customers.

On top of that, by looking at the negative emotions, you can quickly identify customers who need to be contacted so you can turn an angry customer back into a happy one.

On Any Data Type

Customer feedback comes in many forms: social media posts, online reviews, answers to surveys or conversations with your customer care team. With AlfaSent you only need one platform to analyse all of your data.

An image divided in 4 quadrants, each representing one of the data sources where you can find customer feedback.

AlfaSent’s text analytics will help you truly understand your customers.

We currently have integrations with the following platforms:

Can’t see a platform you need an integrations with? Reach out, we’re happy to look into the possibilities.

Google Reviews logo
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