{'fraction_non_alphanumeric': 0.016355140186915886, 'fraction_numerical': 0.0, 'mean_word_length': 4.910344827586207, '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}}
I Know Your Family: A Hybrid Information Retrieval Approach to Extract Family Information from Microblogs

With the growing popularity of social networks, large amounts of personal information have been made available over the Internet. The aim of this thesis is to identify the family related information of a person from their microblogs (Twitter). We use their personal details, tweets and their friends’ details in order to achieve this. Since, we deal with the modern world short text data; we have used a hybrid information retrieval methodology taking into account the Parts of Speech of the data, Phrase Similarity and the Semantic Similarity of the data along with the openly available twitter data. The future use of this research is to develop a Client Side protection tool that will help users validate the data to be posted for privacy breech.