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Leveraging fine-grained sentiment analysis for competitivity

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dc.title Leveraging fine-grained sentiment analysis for competitivity en
dc.contributor.author Nabareseh, Stephan
dc.contributor.author Afful-Dadzie, Eric
dc.contributor.author Klímek, Petr
dc.relation.ispartof Journal of Information and Knowledge Management
dc.identifier.issn 0219-6492 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2018
utb.relation.volume 17
utb.relation.issue 2
dc.type article
dc.language.iso en
dc.publisher World Scientific Publishing Co. Pte. Ltd.
dc.identifier.doi 10.1142/S0219649218500181
dc.relation.uri https://www.worldscientific.com/doi/abs/10.1142/S0219649218500181
dc.subject Social media en
dc.subject telecommunication companies en
dc.subject sentiment analysis en
dc.subject facebook: twitter en
dc.subject competitive analysis en
dc.description.abstract The surge in the use of social media tools by most businesses and corporate society for varied purposes cannot be over emphasised. The two top social media sites heavily patronised by businesses are Facebook and Twitter. For companies to harness the business potential of social media to increase competitive advantage, sentiments behind textual data of their customers, fans and competitors must be monitored and analysed with keen interest. This paper demonstrates how companies in the Telecommunication industry can understand consumer opinions, frustrations and satisfaction through opinion mining analyses and interpret customers' textual data to enhance competitiveness. Sentiment analysis that classifies positive, negative and neutral sentiments of customers of the top three telecommunication companies in Ghana (MTN, Vodafone and Tigo) is studied. The proposed method extracts "intelligence" from the classified customers' comments and compares it with responses from the companies. The results show how customer sentiments can be harnessed into successful online advertising projects. Companies can use the results to enhance their responsiveness to customer-centred, improve on the quality of their service, integrate social sentiments into PR plan, develop a strategy for social media marketing and leverage on the advantages of online advertising. © 2018 World Scientific Publishing Co. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1007954
utb.identifier.obdid 43878355
utb.identifier.scopus 2-s2.0-85044767396
utb.identifier.wok 000434477400007
utb.source j-scopus
dc.date.accessioned 2018-07-27T08:47:35Z
dc.date.available 2018-07-27T08:47:35Z
dc.description.sponsorship Internal Grant Agency of Tomas Bata University [IGA/FaME/2016/019]
utb.contributor.internalauthor Nabareseh, Stephan
utb.contributor.internalauthor Klímek, Petr
utb.fulltext.affiliation Stephen Nabareseh*,†,§, Eric A®ul-Dadzie‡ and Petr Klimek* *Faculty of Management and Economics Tomas Bata University in Zlin, Czech Republic † Ghana Revenue Authority, Accra, Ghana ‡ University of Ghana Business School University of Ghana, Legon, Ghana § snabareseh@gmail.com
utb.fulltext.dates Published 4 April 2018
utb.fulltext.references Abdulai, MM and RE Hinson (2012). Market orientation, innovation and corporate social responsibility practices in Ghana's telecommunication sector. Social Responsibility Journal, 8(3), 327–346, doi: 10.1108/17471111211247910. Aggarwal, R, R Gopal, R Sankaranarayanan and PV Singh (2012). Blog, blogger, and the firm: Can negative employee posts lead to positive outcomes? Information Systems Research, 23(2), 306–322. Akehurst, G (2009). User generated content: The use of blogs for tourism organisations and tourism consumers. Service Business, 3(1), 51–61. Amaquandoh, E and DO Brown (2008). A content analysis of sentiments expressed by visitors to cultural heritage sites at the Elmina and cape coast former slave castles in Ghana. Consortium Journal of Hospitality & Tourism, 12(2), 77–90. Aral, S, C Dellarocas and D Godes (2013). Introduction to the special issue-social media and business transformation: A framework for research. Information Systems Research, 24(1), 3–13. Arnold, DJ and JA Quelch (1998). New strategies in emerging markets. MIT Sloan Management Review, 40(1), 7. Bagheri, A, M Saraee and F De Jong (2013). Care more about customers: Unsupervised domain-independent aspect detection for sentiment analysis of customer reviews. Knowledge-Based Systems, 52, 201–213. Bai, X (2011). Predicting consumer sentiments from online text. Decision Support Systems, 50(4), 732–742. Barker, P (2008). How social media is transforming employee communications at Sun Microsystems. Global Business and Organizational Excellence, 27(4), 6–14. Barlow, M and DB Thomas (2010). The Executive's Guide to Enterprise Social Media Strategy: How Social Networks Are Radically Transforming Your Business, Vol. 42. New Jersey, USA: John Wiley & Sons. Bhatia, S (2014). Internet advertising report, entrepreneurship management at XLRI, jam-shedpur. Available at http://www.slideshare.net/SiddhantBhatia/internet-advertising-slideshare. Accessed on 2 February 2016. Bradley, AJ and MP McDonald (2011). The Social Organization: How To Use Social Media To Tap The Collective Genius Of Your Customers And Employees. Brighton, Massachusetts, USA: Harvard Business Press. Bughin, J, M Chui and A Miller (2009). How companies are benefiting from Web 2.0. Available at http://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/how-com-panies-are-benefiting-from-web-20-mckinsey-global-survey-results. Accessed on 10 March 2017. Chavula, HK (2013). Telecommunications development and economic growth in Africa. Information Technology for Development, 19(1), 5–23. Constantinides, E, CL Romero and MAG Boria (2008). Social media: A new frontier for retailers? European Retail Research, 22, 1–28. Dave, K, S Lawrence and DM Pennock (2003). Mining the peanut gallery: Opinion extraction and semantic classification of product reviews. In Proceedings of the 12th International Conference on World Wide Web, pp. 519–528. New York: ACM. Dyer, P (2013). 50 top tools for social media monitoring, analytics, and management. Available at http://socialmediatoday.com/pamdyer/1458746/50-top-tools-social-media-monitoring-analytics-and-management-2013. Accessed on 2 February 2016. Eisenmann, TR (2006). Internet companies' growth strategies: Determinants of investment intensity and long-term performance. Strategic Management Journal, 27(12), 1183–1204. Essoungou, AM (2010). A social media boom begins in Africa. Africa Renewal, 24(4), 3–4. Esuli, A and F Sebastiani (2006). SENTIWORDNET: A publicly available lexical resource. In Proceedings of the 5th Conference on Language Resources and Evaluation (LREC'06), Genoa, Italy, pp. 417–422. Feldman, R (2013). Techniques and applications for sentiment analysis. Communications of the ACM, 56(4), 82–89. Ghiassi, M, J Skinner and D Zimbra (2013). Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network. Expert Systems with Applications, 40(16), 6266–6282. Gillin, P (2010). The new conversation: Taking social media from talk to action. Harvard Business Review, 1–24. Available at https://hbr.org/resources/pdfs/tools/16203_HBR_SAS%20Report_webview.pdf. Accessed on 10 September 2016. Gillin, P and E Schwartzman (2010). Social Marketing To The Business Customer: Listen To Your B2b Market, Generate Major Account Leads, And Build Client Relationships. New Jersey, USA: John Wiley & Sons. Governatori, G and R Iannella (2011). A modelling and reasoning framework for social networks policies. Enterprise Information Systems, 5(1), 145–167. Hinchcli®e, D and P Kim (2012). Social Business By Design: Transformative Social Media Strategies For The Connected Company. New Jersey, USA: John Wiley & Sons. ITU (2009). ICT Statistics Newslog-Africa tops telecoms market growth. Available at http://www.itu.int/ITUD/ict/newslog/AfricaþTopsþTelecomsþMarketþGrowthþThruþ2013.aspx. Accessed on 2 February 2016. Jussila, JJ, H Kärkkäinen and H Aramo-Immonen (2014). Social media utilization in business-to-business relationships of technology industry firms. Computers in Human Behavior, 30, 606–613. Kang, D and Y Park (2014). Review-based measurement of customer satisfaction in mobile service: Sentiment analysis and VIKOR approach. Expert Systems with Applications, 41(4), 1041–1050. Kim, AJ and E Ko (2012). Do social media marketing activities enhance customer equity? An empirical study of luxury fashion brand. Journal of Business Research, 65(10), 1480–1486. Kim, N, V Mahajan and RK Srivastava (1995). Determining the going market value of a business in an emerging information technology industry: The case of the cellular communications industry. Technological Forecasting and Social Change, 49(3), 257–279. Koppel, M and J Schler (2006). The importance of neutral examples for learning sentiment. Computational Intelligence, 22(2), 100–109. Kotler, P (2011). Reinventing marketing to manage the environmental imperative. Journal of Marketing, 75(4), 132–135. LaValle, S, E Lesser, R Shockley, MS Hopkins and N Kruschwitz (2011). Big data, analytics and the path from insights to value. MIT Sloan Management Review, 52(2), 21. Lee, S, T Hwang and HH Lee (2006). Corporate blogging strategies of the Fortune 500 companies. Management Decision, 44(3), 316–334. Lipsman, A, G Mudd, M Rich and S Bruich (2012). The power of “like”: How brands reach (and influence) fans through social-media marketing. Journal of Advertising Research, 52(1), 40. Mittal, B and WM Lassar (1996). The role of personalization in service encounters. Journal of Retailing, 72(1), 95–109. Nabareseh, S and CN Osakwe (2014). Can business-to-Consumer electronic commerce be a game-changer in Anglophone West African countries? Insights from secondary data and consumers' perspectives. World Applied Sciences Journal, 30(11), 1515–1525. Nabareseh, S, CN Osakwe, E A®ul-Dadzie, P Klímek and M Chovancová (2014). Exploring roles of females in contemporary socio-politico-economic governance: An association rule approach. Mediterranean Journal of Social Sciences, 5(23), 2178. NCA (2013). Cellular mobile consumer satisfaction survey 2012/13. Available at http://www.nca.org.gh/industry-data-2/reports-2/research-reports-2/ http://www.nca.org.gh/industry-data- HYPERLINK http://www.nca.org.gh/industry-data-2/reports-2/research-reports-2/2/reports-2/research-reports-2/. Accessed on 1 June 2016. NCA (2016). Industry information: Telecom subscriptions for August 2016. Available at http://www.nca.org.gh/industry-data-2/market-share-statistics-2/voice-2/ http://www.nca.org.gh/industry- HYPERLINK http://www.nca.org.gh/industry-data-2/market-share-statistics-2/voice-2/ data-2/market-share-statistics-2/voice-2/. Accessed 0n 30 October 2016. NCA-Ghana (2014). Review of mobile and fixed network services statistics for the year 2016. Available at http://www.nca.org.gh/73/34/News.html?item=357. Accessed on 2 February 2016. Pang, B and L Lee (2008). Opinion mining and sentiment analysis. Foundations and Rrends in Information Retrieval, 2(1–2), 1–135. Pang, B, L Lee and S Vaithyanathan (2002). Thumbs up?: Sentiment classification using machine learning techniques. In Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing, Vol. 10, pp. 79–86. Stroudsburg, PA, USA: Association for Computational Linguistics. Peppers, D and M Rogers (1995). A new marketing paradigm: Share of customer, not market share. Planning Review, 23(2), 14–18. Qualman, E (2011). How Social Media Transforms the Way We Live and Do Business. Ipswich, MA: Business Book Summaries. Rindova, VP and CJ Fombrun (1999). Constructing competitive advantage: The role of firmconstituent interactions. Strategic Management Journal, 20(8), 691–710. Safko, L (2010). The Social Media Bible: Tactics, Tools, And Strategies For Business Success. New Jersey, USA: John Wiley & Sons. Sashi, CM (2012). Customer engagement, buyer-seller relationships, and social media. Management Decision, 50(2), 253–272. Sirgy, MJ (2015). Self-image/product-image congruity and advertising strategy. In Proceedings of the 1982 Academy of Marketing Science (AMS) Annual Conference pp. 129–133. Cham: Springer. Taboada, M, J Brooke, M Tofiloski, K Voll and M Stede (2011). Lexicon-based methods for sentiment analysis. Computational Linguistics, 37(2), 267–307. Talbot, R, C Acheampong and R Wicentowski (2015). SWASH: A Naive Bayes classifier for tweet sentiment identification. In SemEval@ NAACL-HLT, Denver, Colorado, pp. 626–630. Thelwall, M, K Buckley and G Paltoglou (2012). Sentiment strength detection for the social web. Journal of the American Society for Information Science and Technology, 63(1), 163–173. Tong, RM (2001). An operational system for detecting and tracking opinions in on-line discussion. In Working Notes of the ACM SIGIR 2001 Workshop on Operational Text Classification, Vol. 1, pp. 1–6. New York: ACM. Turney, PD (2002). Thumbs up or thumbs down?: Semantic orientation applied to unsupervised classification of reviews. In Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, pp. 417–424. Stroudsburg, PA, USA: Association for Computational Linguistics. van Sinderen, M and JPA Almeida (2011). Empowering enterprises through next-generation enterprise computing. Enterprise Information Systems, 5(1), 1–8. Weber, L (2009). Marketing To The Social Web: How Digital Customer Communities Build Your Business. New Jersey, USA: John Wiley & Sons. Wiebe, JM (1994). Tracking point of view in narrative. Computational Linguistics, 20(2), 233–287. Wollan, R, N Smith and C Zhou (2010). The Social Media Management Handbook: Everything You Need To Know To Get Social Media Working In Your Business. New Jersey, USA: John Wiley & Sons. Yu, Y and X Wang (2015). World Cup 2014 in the Twitter World: A big data analysis of sentiments in US sports fans' tweets. Computers in Human Behavior, 48, 392–400. Zeng, L, L Li and L Duan (2012). Business intelligence in enterprise computing environment. Information Technology and Management, 13(4), 297–310. Zhang, W, H Xu and W Wan (2012). Weakness finder: Find product weakness from Chinese reviews by using aspects based sentiment analysis. Expert Systems with Applications,39(11), 10283–10291.
utb.fulltext.sponsorship This work was supported by Internal Grant Agency of Tomas Bata University under the project Nos. IGA/FaME/2016/019.
utb.wos.affiliation [Nabareseh, Stephen; Klimek, Petr] Tomas Bata Univ, Fac Econ & Management, Zlin, Czech Republic; [Nabareseh, Stephen] Ghana Revenue Author, Accra, Ghana; [Affuul-Dadzie, Eric] Univ Ghana, Sch Business, Legon, Ghana
utb.fulltext.projects IGA/FaME/2016/019
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