Semantic text analysis software based on artificial intelligence
Gain deep qualitative insights automatically from open text questions in surveys and from comments in forums, communities, rating portals and social media platforms
Extend your qualitative data analysis with the possibility of extracting connotative aspects and affective states from free texts and free text comments by means of a profound, semantic text analysis and thus gain a considerable competitive advantage! React appropriately to customer feedback and recognise sensitivities and potential with the support of artificial intelligence!
The possibility of semantic text analysis allows you to carry out market research studies or touchpoint analyses not only quantitatively but to use more qualitative questions. Enable your customers and test persons to formulate in free texts what they want or what is on their minds! The text analysis software tools from QuestionPro allow you to evaluate and analyse qualitative feedback quickly and easily!
Analyse freely formulated texts from websites, rating portals or forums and get an idea of the affective states in which authors of comments published in the context of your company, products and services were in. Create tag clouds of word frequencies and categorise positive, neutral and negative feedback automatically using QuestionPro’s semantic text analysis software tools.
If you manage a Facebook page or a Twitter channel, do not just analyse comments below your postings. Also use the social listening function of QuestionPro and “monitor” freely defined hashtags. Analyse all postings in which the corresponding hashtags appear and gain valuable qualitative insights into all comments concerning your company and products – or your competitors!
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The unique combination of psychology and technology enables a deep level of understanding not only of who your customers are, what their motivations and emotions are and how they are likely to behave in the future. Four key factors distinguish the AI-based, automated, semantic qualitative text analysis in QuestionPro
With our semantic text analysis we go far beyond purely demographic data and identify critical and prominent psychographies of individuals and groups from any text in any language, namely emotions, personality, motivation and much more.
Our semantic text analysis based on artificial intelligence is trained to decode not only denotative content, but also the communication characteristics of the message, e.g. tone of voice, personality traits or by combining this technology with NLG.
The natural language-based approach of AI-based semantic text analysis enables our technology to process the logical structure of a text and extract the relevant elements and deeper meaning without having to rely on keywords.
Just as a human brain learns independently from all experiences made, our networks and technologies can learn from a large amount of unstructured data without any intervention, constantly improving the accuracy and scope of AI-based semantic text analysis.
Every day, market research and customer experience management organically generates millions of pieces of data that provide insights into how customers experience your products, your company and your brand. This data usually relates to past behaviour. Automated, AI-based semantic text analysis can help you stay one step ahead and anticipate future behaviour of your customers. And you will learn a lot about your own company from the perspective of your customers!
Based on artificial intelligence and deep machine learning, the innovative and unique semantic text analysis of the market research and experience management platform QuestionPro helps you to find out not only what topics and experiences your customers talk about most, but also what satisfaction and mood are behind these experiences. Revealing trends and topics and analysing your customers’ satisfaction using semantic text analysis is the easiest way to determine which areas of your company, products, services and brands need to be improved.
Our methodologies and technologies not only allow you to identify hotspots for improving products, processes and customer satisfaction, but also to gain early insights into your own company in order to initiate measures for change as quickly as possible! What do your customers talk about? How do your customers see your company? Do your customers talk to each other about your company, your service and your products? What makes your customers really happy and what annoys them? Will your customers continue to buy your products?