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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Twitter Sentiment Analysis using Machine Learning Techniques: A Case Study of ChatGPT Subject The topic of the resource chatGPT; NLP and ML Techniques); Sentiment analysis; Twitter Data Analysis Description An account of the resource ChatGPT is a powerful AI bot developed by OpenAI. This technology has the potential to generate a humanlike response. ChatGPT is a pre-trained system capable of generating chat and understanding human speech. This paper identified the responses of ChatGPT users through related tweets with the help of natural language processing and machine learning techniques. This paper uses textBlob, VADER and human annotation to find the sentiment of each tweet; countvectorizer is used for feature extraction and different machine learning algorithms to classify them into different classes. LeXmo is used to identify the various sentiment analyses, and it is observed that positive and trust emotions are higher than other sentiments. SVM with 10-fold cross-validation shows better results than other techniques. 2023 IEEE. Creator An entity primarily responsible for making the resource Kumari R.; Kumar S. Source A related resource from which the described resource is derived Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. 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/10.1109/InC457730.2023.10262961" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC457730.2023.10262961</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174706225&amp;doi=10.1109%2FInC457730.2023.10262961&amp;partnerID=40&amp;md5=fb0c26950ae77605c354ecf080a9f81d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174706225&amp;doi=10.1109%2fInC457730.2023.10262961&amp;partnerID=40&amp;md5=fb0c26950ae77605c354ecf080a9f81d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033577-4 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 Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kumari R., (IFHE) University, ICFAI Business School (IBS) Bangalore Off-Campus Center of ICFAI Foundation for Higher Education, Bangalore, India; Kumar S., CHRIST (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India