{'fraction_non_alphanumeric': 0.021922428330522766, 'fraction_numerical': 0.0, 'mean_word_length': 4.964824120603015, '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}}
Design of Automatic Key Finder for Search Engine Optimization in Internet of Everything

Technology is advancing day by day. Automation is playing an important role. Internet of Everything (IoE) has emerged as a key technology that enables everything to be connected through the internet. In every field Internet of everything is generating a vast amount of data like health system, traffic system, smart city monitoring system, education system, social networking sites, government organizations, etc. So to handle this huge amount of data, a system is required through which it becomes easier to track, analyze, handle, and apply that data in a better way. A unique system is proposed in this article through which important keys are identified. From those keys, desired data can be retrieved quickly and efficiently. The proposed system uses the entire new process to get the desired output. The k-means clustering with a modified entire process is used. By using natural language processing the data is accessed by the voice command. Through simulation results, it is proved that the proposed system has given better results and the searching process becomes smoother and efficient.