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THE CLASSIFICATION OF CUSTOMERS SENTIMENT USING DATA MINING APPROACHES

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19 Pages : 146-156

http://dx.doi.org/10.31703/gssr.2019(IV-IV).19      10.31703/gssr.2019(IV-IV).19      Published : Dec 2019

The Classification of Customers' Sentiment using Data Mining Approaches

Abstract

    Data mining is a procedure of extracting the requisite information from unprocessed records by using certain methodologies and techniques. Data having sentiments of customers is of utmost importance for managers and decision-makers who intend to monitor the progress, to maintain the quality of their products or services and to observe the latest market trends for business support. Billions of customers are using micro-blogging websites and social media for sharing their opinions about different topics on daily basis. Therefore, it has become a source of acquiring information but to identify a particular feature of a product is still an issue as the information retrieves from varied sources. We proposed a framework for data acquisition, preprocessing, feature extraction and used three supervised machine-learning algorithms for classification of customers’ sentiments. The proposed framework also tested to evaluate the system’s performance. Our proposed methodology will be helpful for researchers, service providers, and decisionmakers.

    (1) Dost Muhammad Khan
    Assistant Professor, Department of Computer Science and Information Technology, The Islamia University of Bahawalpur, Punjab, Pakistan.
    (2) Tariq Aziz Rao
    Visiting Lecturer, Department of Computer Science, Virtual University of Pakistan, Lahore, Punjab, Pakistan.
    (3) Faisal Shahzad
    Lecturer, Department of Computer Science and Information Technology, The Islamia University of Bahawalpur, Punjab, Pakistan.
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Cite this article

APA

    APA : Khan, D. M., Rao, T. A., & Shahzad, F. (2019). The Classification of Customers' Sentiment using Data Mining Approaches. Global Social Sciences Review, IV(IV), 146-156. https://doi.org/10.31703/gssr.2019(IV-IV).19

CHICAGO

    CHICAGO : Khan, Dost Muhammad, Tariq Aziz Rao, and Faisal Shahzad. 2019. "The Classification of Customers' Sentiment using Data Mining Approaches." Global Social Sciences Review, IV (IV): 146-156 doi: 10.31703/gssr.2019(IV-IV).19

HARVARD

    HARVARD : KHAN, D. M., RAO, T. A. & SHAHZAD, F. 2019. The Classification of Customers' Sentiment using Data Mining Approaches. Global Social Sciences Review, IV, 146-156.

MHRA

    MHRA : Khan, Dost Muhammad, Tariq Aziz Rao, and Faisal Shahzad. 2019. "The Classification of Customers' Sentiment using Data Mining Approaches." Global Social Sciences Review, IV: 146-156

MLA

    MLA : Khan, Dost Muhammad, Tariq Aziz Rao, and Faisal Shahzad. "The Classification of Customers' Sentiment using Data Mining Approaches." Global Social Sciences Review, IV.IV (2019): 146-156 Print.

OXFORD

    OXFORD : Khan, Dost Muhammad, Rao, Tariq Aziz, and Shahzad, Faisal (2019), "The Classification of Customers' Sentiment using Data Mining Approaches", Global Social Sciences Review, IV (IV), 146-156

TURABIAN

    TURABIAN : Khan, Dost Muhammad, Tariq Aziz Rao, and Faisal Shahzad. "The Classification of Customers' Sentiment using Data Mining Approaches." Global Social Sciences Review IV, no. IV (2019): 146-156. https://doi.org/10.31703/gssr.2019(IV-IV).19