{'fraction_non_alphanumeric': 0.013513513513513514, 'fraction_numerical': 0.005067567567567568, 'mean_word_length': 4.701923076923077, '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}}
Conceptualizer : a Method for Suggesting Concepts

In this paper we discuss two methods for suggesting automatically detected semantic concepts used for searching through news video archives. It is based on the 436 concepts that are used in the MediaMill search engine. Given a query, a relevant word can be given as input and our methods suggest a list of concepts that can be useful for the search. The results are evaluated and compared with the current concept suggestion engine of MediaMill. The results show that using some simple methods, a concept suggestion engine can do quite well.