Emotion analysis is the capture and monitoring of ideas, feelings, or feelings expressed by customers who have had various types of interactions, such as social media posts, customer service calls, and surveys. Emotion analysis encompasses the analysis and processing of biometrics used to identify text, natural language, informational linguistics, or biometrics that are expressed towards a company, product, service, person, or event.
Semi-structured data is data that is not captured or formatted by traditional methods.
Demand forecasts help make the right business decisions by predicting future demands for products and services. Demand forecasts cover finely detailed data, historical sales data, surveys and more.
Neural Style Transfer (NST) is a method of applying the style of one image to another using artificial neural networks. Using deep learning algorithms, this technique combines two images: the style of one (e.g. a work of art) and the content of the other (e.g. a photograph) to create an expressive and artistic result.
We work with leading companies in the field of Turkey by developing more than 200 successful projects with more than 120 leading companies in the sector.
Take your place among our successful business partners.
Fill out the form so that our solution consultants can reach you as quickly as possible.
The Self-Service Analytics platform was designed for all Enerjisa employees to benefit from Enerjisa's strong analytics capabilities.
By combining our 30+ years of experience and experience with the centers of excellence in our ecosystem, we prepare your organization to lead the digital transformation!
