{'fraction_non_alphanumeric': 0.015706806282722512, 'fraction_numerical': 0.0, 'mean_word_length': 5.12, '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}}
IoT Device Auto-Tagging Using Transformers

The IoT platform can identify a device matching the data only when securing the information on a large amount of IoT devices in advance. However, in a situation where a lot of companies release a variety type of IoT, it is not easy to retain information about all IoT devices. That is, it is a difficult situation where the current IoT platform has difficulty in analyzing unstandardized tagging information. Therefore, this paper provides a technique of ‘Tagging’ that automatically identifies the device based on information collected from IoT devices or sensor devices. This technique was developed based on the natural language processing algorithm based on the attention mechanism among the machine learning models.