{'fraction_non_alphanumeric': 0.020227560050568902, 'fraction_numerical': 0.0, 'mean_word_length': 5.0, '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}}
The Use of Document Fingerprinting in the Web People Search Task ⋆

In the context of document indexing/retrieval, a document fingerprint is considered to be a specific code which may be used to uniquely identify this document from the rest of the text collection. Document fingerprinting is a efficient time-complexity mechanism of indexing data, but issues with respect to precision still being on development. In this paper, we approached the Web People Search task (WePS) by using hash-based document fingerprinting. The evaluation of the experiments carried out show that the implemented technique could have a positive impact in the analysis/indexing of huge volumes of information. However, the feature set for all the documents in the WePS framework needs to be further investigated.