{'fraction_non_alphanumeric': 0.010542168674698794, 'fraction_numerical': 0.0, 'mean_word_length': 5.584158415841584, '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}}
A Jaccards Similarity Score Based Methodology for Kannada Text Document Summarization

The techniques for better Information Retrieval (IR) have become indispensable as the amount of information available on the World Wide Web is steadily increasing. A method based on Jaccards' similarity score for Kannada language text document summarization is devised, which produces a coherent summary of a given document. The corpus used in this work is prepared from the Kannada web portals called as kanaja and kannadawebdunia. The results obtained are compared with keyword based and sentence ranking based methods used for summarization Results obtained are satisfactory