Authors:Â Anurag Khadase , Diksha Jambhulkar, Pradip Ramteke, Shubham Borghare, Amit Pimpalkar
Abstract:Â Text prospecting refers to the use of data prospecting, tweet analysis, compotation calculations, and symmetric to systematically determine, cutting, characterize, and study feeling states and instinctive useful data. Text mining is widely applied to voice of the client materials such as reviews and survey analysis, online and social media, and wellness program for applications that range from marketing to customer courtesy to clinical medicine. Conventionally on twitter posting, text analysis aims to determine the prejudice of a twitter account holder, advertisement or other subject regarding some motive or the overall transient polarity or impulsive receptivity to archive, intercommunication, or event. The attitude may be a prudence or estimation, affective state (haddest say, the impulsive state of the author or speaker), or the steady impulsive articulation. We extracted recent 50 tweets as a sample to analyze the sentiment of a selective twitter handle or twitter account using the highest score generated for positive, negative & neutral file.
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