{'fraction_non_alphanumeric': 0.018085106382978722, 'fraction_numerical': 0.006382978723404255, 'mean_word_length': 4.4393063583815024, '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': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Data Analysis in Social Media

The use of social media in our day-to-day life has skyrocketed in the past few years. The availability of good hardware devices and an increase in connectivity at most of the public places has made people let use social media platforms more and more. Social media platforms like Facebook, Instagram, Twitter, LinkedIn, etc. are improving their products every day to make them addictive and easy to use by people of any age group. All this results into a large chunk of data created every moment by people around the world. This huge sized data is one the most important asset of these top scale companies. In 2018, it was observed we create about 2.5 quintillion bytes of data every day from the use of social media platforms. Organizations make use of this data by analyzing it using various techniques and produce meaning insights from the same. The resultant insights are further used for various purposes.