{'fraction_non_alphanumeric': 0.0186084142394822, 'fraction_numerical': 0.0, 'mean_word_length': 4.91866028708134, '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}}
Live Twitter Sentiment Analysis

Sentiment analysis One of the progressive field of natural language processing is sentiment analysis. It is a way to detect the attitude, state of mind, or emotions of the person towards a product, service, movie, etc. by analysing the opinions and reviews shared on social media, blogs and so on. Social media platforms such as Facebook, Twitter and so on allow people to share their views with other people. Twitter become the one of the popular platform that allows users to share information by way of the short messages called tweets on a real-time basis. To make good use of this data, we develop a Real-time twitter sentiment analysis and visualization system. It is a web application and its purpose is to employ an open source approach for sentiment analysis and its visualization using a set of packages supported by python language to mine the real-time data from Twitter through application programming interfaces (APIs) using hashtags and keywords. This system will analyse the sentiments as positive and negative for a particular product and service that helps organizations, political parties, and common people to understand the effectiveness of their efforts and better decision making.