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 Opinion mining on newspaper headlines using SVM and NLP Subject The topic of the resource CountVectorizer; Newspaper; NLTK; Opinion mining; Sentiment analysis; SGDClassifier; Stanford coreNLPm; SVM; Tf-idf Description An account of the resource Opinion Mining also known as Sentiment Analysis, is a technique or procedure which uses Natural Language processing (NLP) to classify the outcome from text. There are various NLP tools available which are used for processing text data. Multiple research have been done in opinion mining for online blogs, Twitter, Facebook etc. This paper proposes a new opinion mining technique using Support Vector Machine (SVM) and NLP tools on newspaper headlines. Relative words are generated using Stanford CoreNLP, which is passed to SVM using count vectorizer. On comparing three models using confusion matrix, results indicate that Tf-idf and Linear SVM provides better accuracy for smaller dataset. While for larger dataset, SGD and linear SVM model outperform other models. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Rameshbhai C.J.; Paulose J. Source A related resource from which the described resource is derived International Journal of Electrical and Computer Engineering, Vol-9, No. 3, pp. 2152-2163. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijece.v9i3.pp2152-2163" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijece.v9i3.pp2152-2163</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067986051&amp;doi=10.11591%2Fijece.v9i3.pp2152-2163&amp;partnerID=40&amp;md5=953768c15a48c34437c537bc173515ed" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067986051&amp;doi=10.11591%2fijece.v9i3.pp2152-2163&amp;partnerID=40&amp;md5=953768c15a48c34437c537bc173515ed</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 20888708 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 Rameshbhai C.J., Department of Computer Science, Christ University, Hosur Road, Bangalore, 560029, Karnataka, India; Paulose J., Department of Computer Science, Christ University, Hosur Road, Bangalore, 560029, Karnataka, India