Abstract
Specializing in the analysis of strong emotions expressed in text, sentiment analysis is a scientific field. You may convey your thoughts and feelings about anything by expressing your opinion about it. This work explains the origins of sentiment analysis and how to configure sentiment evaluators. This paper showed comprehensive assessment of emotions will still be required. Analysis includes non-textual material. The use of visual media in social research is also useful. Without a doubt, I see the value of these links. This research uses a domain-specific seed list to categorize tweets. As much information as possible is preserved during tweet categorization. The algorithm categorizes tweets precisely and sentimentally to build a user interest profile. To test the method, 1 million tweets were used and up to 96% of them were correctly classified.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Discrete Mathematical Sciences and Cryptography
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
