{'fraction_non_alphanumeric': 0.014175257731958763, 'fraction_numerical': 0.0, 'mean_word_length': 5.216, '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}}
Simulation of numerical semantic operations on strings in medical domain

In this research, we define and simulate the numerical semantic operations on strings in the medical domain. The demand for processing medical documents more intelligently and the necessity of semantic computing on words in them are increasing, continually. What does in this research is to construct the similarity matrix which is the basis from the medical document corpus, define the numerical semantic operations, and simulate them on the corpus. This research provides the basis of developing semantic analysis tools of medical documents as the benefit from it. Thus, in the simulation, we will observe values of semantic similarity averages and variances on groups of words in the medical domain.