Unitedhealth Group Incorporated

Optum, Inc.

Saurabh Bhargava

Ravi Pande

Rama Krishna Singh

Sapeksh Suman

Vishwakant Gupta

Abhinav Agrawal

Russell H Amundson

Gaurav Mantri

Destiny Babjack

Gourav Awasthi

Rajesh Sabapathy

Sandeep Chandra Das

Praveen Bansal

Gaurav

Animesh

Sumeet Jain

Systems and methods are configured to extract images from provided source data files and to preprocess such images for content-based image analysis. An image analysis system applies one or more machine-learning based models for identifying specific features within analyzed images, and for determining one or more measurements based at least in part on the identified features. Such measurements may be embodied as absolute measurements for determining an absolute distance between features, or relative measurements for determining a relative relationship between features. The determined measurements are input into one or more machine-learning based models for determining a classification for the image.

Systems and methods for automated digital image content extraction and analysis

There is a need for more effective and efficient predictive data analysis solutions and/or more effective and efficient solutions for generating an emotional sentiment score without the use of labelled data. In one example, embodiments comprise receiving an input text sequence, generating an intermediate emotional sentiment score object based at least in part on the input text sequence and by utilizing an emotional sentiment machine learning model, generating an overall emotional sentiment score based at least in part on the intermediate sentiment score object and by utilizing an emotional sentiment score transformation object, and performing one or more prediction-based actions based at least in part on the overall emotional sentiment score.

Natural language processing techniques using target composite sentiment designation

Systems and methods are configured for preprocessing of images for further content based analysis thereof. Such images are extracted from a source data file, by standardizing individual pages within a source data file as image data files, and identifying whether the image satisfies applicable size-based criteria, applicable color-based criteria, and applicable content-based criteria, among others, utilizing one or more machine-learning based models. Various systems and methods may identify particular features within the extracted images to facilitate further image-based analysis based on the identified features.

Systems and methods for automated digital image selection and pre-processing for automated content analysis

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Eden Prairie, MN, United States of America

Saurabh Bhargava