{'fraction_non_alphanumeric': 0.02226588081204977, 'fraction_numerical': 0.0026195153896529143, 'mean_word_length': 5.112, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Review of Psychometric Data Analysis for Healthcare Based on Emotional Intelligence

With the technological advancements in the current world and also due to the COVID-19 pandemic there is high competition among people resulting in locked in syndrome, stress, and various other psychological problems like bipolar disorders, schizophrenia, and severe depression. So, the need for proper psychometric analyzer is tremendously increasing to analyze the emotions of people so that a person’s emotion can be found and necessary actions can be taken according to their health condition. To overcome these issues of people around us, our loved ones and also the issue in the online consultation with psychologists, here is the proposed system. In this system, a person’s emotions are recognized using their video, audio, and text in three different modules separately and an analysis of their emotion are provided. Some of the existing systems helps in identifying the emotion of people in video, audio, and text separately. This system aims at combining the three features separately in a single website and provides analysis for emotion using the best model for each. Identifying a person’s emotions becomes crucial to know about his/her mental state in the pandemic. The main objectives of the proposed system are: (1) To identify the emotion of a person in video, audio, and text using machine learning models. (2) The proposed system makes it easy for the psychologist to identify the patient’s emotions in online consultations.