DATA MINING OF NIGERIANS’SENTIMENTS ON THE ADMINISTRATION OF FEDERAL GOVERNMENT OF NIGERIA

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dc.contributor.authorAmusa, Lateef
dc.contributor.authorYahya, Wahab
dc.contributor.authorBalogun, Abdullateef Oluwagbemiga
dc.date.accessioned2018-05-23T10:45:39Z
dc.date.available2018-05-23T10:45:39Z
dc.date.issued2016
dc.description.abstractThe opinions and sentiments expressed by citizens of a country on the policies of the government of such country are very vital to the overall running of the affairs of such a government. This paper therefore explored data mining tools to evaluate peoples’ sentiments (positive or negative) towards the administration of the Federal Government of Nigeria (FGN) under President Muhammadu Buhari (PMB). Data were collected through a popular social medial network (Twitter) on various tweets by Nigerians with respect to their perceptions about the current administration PMB. The simple but powerful Naïve Bayes (NB) classifier was adopted to classify the various tweets submitted by Nigerians through this medium into positive and negative sentiments. For polarity, it was trained on the combination of Janyce Wiebe’s subjectivity lexicon and Bing Liu’s subjectivity lexicon which polarized the submitted words as being negative or positive. Out of about 13,000 features (peoples’ sentiments) considered, 4,770 of them were used after data cleaning. The results showed that the proportion of positive and negative sentiments, as obtained from the data, were 45.2% and 54.8% respectively. However, the data were randomly partitioned into 80:20 training and testing parts respectively and the NB classifier was learned on the training set while its goodness was assessed on the test set. The prediction accuracy, misclassification error rate, sensitivity and specificity of the classifier were 78.3%, 21.7%, 82.5% and 88.1% respectively. All analyses were carried out in the environment of R statistical package (version 3.2.2).en_US
dc.identifier.citation10. Amusa, L. B., Yahaya, W. B., & Balogun, A. O. (2016): Data Mining of Nigerians’ Sentiments on the Contemporary Administration. Annals Computer Science Series 14th Tome 2nd , Fascicle- 2016 Paper 14-2-11. 69-76.en_US
dc.identifier.issn2065-7471
dc.identifier.urihttp://hdl.handle.net/123456789/272
dc.language.isoenen_US
dc.publisherComputers and Applied Computer Science Faculty in "Tibiscus" University of Timişoara, Romania.en_US
dc.relation.ispartofseriesVolume: 14;Issue: 2
dc.subjectMachine Learningen_US
dc.subjectData Miningen_US
dc.subjectText miningen_US
dc.titleDATA MINING OF NIGERIANS’SENTIMENTS ON THE ADMINISTRATION OF FEDERAL GOVERNMENT OF NIGERIAen_US
dc.typeArticleen_US

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