Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Human behavior analysis on political retweets using machine learning algorithms Subject The topic of the resource Computing methodologies; Machine learning algorithms; Opinion mining; Political retweet; Text classification; Twitter Description An account of the resource The exponential rise in the use of social media has resulted in a massive increase in the volume of unstructured text created. This content is presented through messages, conversations, postings, and blogs. Microblogging has become a popular way for people to share what they are thinking. Many people express their thoughts on various issues relating to their hobbies. As a result, microblogging websites have become a valuable resource for opinion mining and sentiment research. Twitter is a well-known microblogging network, with over 500 million new tweets posted daily. The goal of this study was to mine tweets for political sentiments. The extraction of tweets relating to India's well-known political leaders of different states &amp; parties in India and applying the polarity detection analysis of human behavior on the retweeted messages As a result, the sentiment classification algorithm is designed to determine whether tweets are more likely to predict the popularity of certain politicians among the general public. The subjectivity and polarity present in the tweets of political leaders are compared. The engagements of these leaders are then taken into account to determine their popularity. All these comparisons are then portrayed using data visualizations. 2023 The Authors Creator An entity primarily responsible for making the resource Patel H.; Kansara A.; Prathap B.R.; Pradeep Kumar K. Source A related resource from which the described resource is derived Measurement: Sensors, Vol-27 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.measen.2023.100768" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.measen.2023.100768</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159549912&amp;doi=10.1016%2Fj.measen.2023.100768&amp;partnerID=40&amp;md5=0516f247ac6bde0122cef2a57c2c0a1f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159549912&amp;doi=10.1016%2fj.measen.2023.100768&amp;partnerID=40&amp;md5=0516f247ac6bde0122cef2a57c2c0a1f</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 26659174 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Patel H., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India; Kansara A., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India; Prathap B.R., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India; Pradeep Kumar K., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India