Text analysis is a method to extract more value from text and can be used to find texts, quantify the presence of different topics, and capture positive and negative expressions.
The most common methods are sentiment (identifying the sentiment in the text) and topic (determining what subjects the text is about).
There is no one-size-fits-all text analysis solution; on the contrary, the more specialized it is for the purpose, the better it performs. Therefore, a generic solution doesn't yield good results. It's not enough to "understand Swedish," but it should be more like "understanding Swedish for customer service in our industry."
Quicksearch supports text analysis and has chosen a specific approach to text analysis to enhance the value for each customer and use case. We offer a custom text analysis that can be tailored to the context - Learn more about how to succeed with text analysis and how it is performed in Quicksearch's system.
Quicksearch provides good text analysis with a focus on Swedish and English, but supports more languages.
We have also opened up for the use of text analysis from all commonly used providers. This means you can choose, for example, Gavagai, which is skilled in text analysis in Swedish and allows you to build custom models, Google, which has ready-made models for the healthcare sector in English, IBM with various languages, or Microsoft's Azure services.
You can even have completely custom text analysis models that you have developed yourselves and use them in combination with Quicksearch's analysis tools.