Any kind of text data can be injected in the APIs, and a structured representation can be extracted from it automatically
Developers can organize any kind of unstructured text by integrating the model produced by the Loop Cognitive Computing Platform into their applications, using a collection of simple APIs. Using these APIs, Loop helps developers leverage any kind of unstructured text without data science or artificial intelligence experience, making concept extraction a process of simple API calls. The Person Digital GenomeAPI enables applications to instantly derive a deep profile of a user, including interests, life context, and personality insights. The deep profile helps businesses understand their clients' preferences and create the next generation of personalized applications.“The text data can be built in the form of a model to understand the conceptual content, even from the smallest text data
One of Loop’s clients, a customer support company, was facing issues in responding to the large number of technical support requests that required domain-specific expertise to understand. Loop AI Labs trained a model based on many customer support interactions and used it to list the first sentence from each request and its relatedness to the characteristics of the analysts. In this way, the company was able skip the first level of the problem, giving experts the chance to understand their queries more clearly and to respond more effectively, providing a better customer experience. “Our technology provides a customized solution to companies’ specific needs,” illustrates Patrick Ehlen, Chief Scientist, Loop AI Labs.
Loop AI Labs is keeping up with technical advancements in the academic research community and continues to refine the technology for their business. “We are an artificial intelligence research organization focused on deep learning, trying to make a system that can understand human language,” concludes Ehlen.