{'fraction_non_alphanumeric': 0.014414414414414415, 'fraction_numerical': 0.0, 'mean_word_length': 5.138121546961326, '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}}
Entertainment Advisor Using Sentiment Analysis

. Sentiment or opinion mining analyses include the study of people's written opinions, feelings, attitudes, and emotions. It has been one of the most active areas of research in natural language processing and text mining in recent years. Due to its importance for business and society, research has also moved to management science and social sciences beyond computer science. This article presents an Entertainment Advisor system that uses Sentiment Analysis to calculate the Sentiment Polarity and Subjectivity of Movies or TV shows by reading its reviews. The proposed system is a recommender system, which recommends based on the sentiment polarity. The features provided in the proposed system would let users write their reviews. These reviews would be directly stored in a text file and accessible to all the users for anonymous view. The recommendation is made based on the polarity of all the reviews. The proposed recommender system also allows users to select a particular review and calculate its polarity for demonstration and better understanding.