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 Polarity detection on real-time news data using opinion mining Subject The topic of the resource Fake news detection; LDA; Polarity detection; Sentiment analysis Description An account of the resource Sentimental Analysis or Opinion Mining plays a vital role in the experimentation field that determines the users opinions, emotions and sentiments concealing a text. News on the Internet is becoming vast, and it is drawing attention and has reached the point of adequately affecting political and social realities. The popular way of checking online content, i.e. manual knowledge-based on the facts, is practically impossible because of the enormous amount of data that has now generated online. The issue can address by using Machine Learning Algorithms and Artificial Intelligence. One of the Machine Learning techniques used in this is Naive Bayes classifier. In this paper, the polarity of the news article determined whether the given news article is a positive, negative or neutral Naive Bayes Classifier, which works well with NLP (Natural Language problems) used for many purposes. It is a family of probabilistic algorithms that used to identify a word from a given text. In this, we calculate the probability of each word in a given text. Using Bayes theorem, they are getting the probabilities based on the given conditions. Topic Modeling is analytical modelling for finding the abstract of topics from a cluster of documents. Latent Dirichlet Allocation (LDA) is a topic model is used to classify the text in a given document to a specified topic. The news article is classified as positive or negative or neutral using Naive Bayes classifier by calculating the probabilities of each word from a given news article. By using topic modelling (LDA), topics of articles are detected and record data separately. The calculation of the overall sentiment of a chosen topic from different newspapers from previously recorded data done. 2020 The authors and IOS Press. Creator An entity primarily responsible for making the resource Prathap B.R.; Sujatha A.K.; Yadav C.B.S.; Mounika M. Source A related resource from which the described resource is derived Advances in Parallel Computing, Vol-37, pp. 90-97. Publisher An entity responsible for making the resource available IOS Press BV Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3233/APC200124" target="_blank" rel="noreferrer noopener">https://doi.org/10.3233/APC200124</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096670392&amp;doi=10.3233%2FAPC200124&amp;partnerID=40&amp;md5=8801a83d06ee59a2cc09347fd68fcce2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096670392&amp;doi=10.3233%2fAPC200124&amp;partnerID=40&amp;md5=8801a83d06ee59a2cc09347fd68fcce2</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 9275452 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 Prathap B.R., CHRIST (Deemed to be University), Bangalore, Karnataka, India; Sujatha A.K., CHRIST (Deemed to be University), Bangalore, Karnataka, India; Yadav C.B.S., CHRIST (Deemed to be University), Bangalore, Karnataka, India; Mounika M., CHRIST (Deemed to be University), Bangalore, Karnataka, India