This OVD contain only opinion verbs along with their sentiment score. The dictionary-based approach uses opinion verb dictionary (OVD) to extract the sentiment of opinion verbs present in SMT. and are classified as positive or negative opinion based on sentiment score of SMT using dictionary-based approach and a binary classifier. ![]() The opinion of users is extracted from their written text on social media such as comments, tweets, blogs, feedbacks etc. This article proposes novel frameworks of SentiVerb and Spell Checker system, which extracts the reaction, mood, and opinion of users from social media text (SMT).
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