{'fraction_non_alphanumeric': 0.014285714285714285, 'fraction_numerical': 0.008571428571428572, 'mean_word_length': 4.754098360655738, '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}}
Rule based automatic news tagging

In this study, a rule based application that collects news from public network sources and automatically tags these news gathered has been implemented. The sub-goal of the study is to measure which features are more appropriate for tagging. The success rate of each feature was measured on 100 manually tagged news.