References: [1] Amal M Almana., Mehmet Sabih Aksoy., Rasheed Alzahrani. (2014). A Survey On Data Mining Techniques In Customer Churn Analysis For Telecom Industry. J. Eng. Res. Appl. 4, 5 (2014), 165–171. [2] Fermín L. Cruz., José A. Troyano., Fernando Enríquez., F. Javier Ortega., Carlos G. Vallejo. (2013). Long autonomy or long delay? the importance of domain in opinion mining. Expert Syst. Appl. 40, 8 (June 2013), 3174–3184. DOI: https://doi.org/10.1016/ j.eswa.2012.12.031 [3] Weiguo Fan., Michael D Gordon. (2013). Unveiling the Power of Social Media Analytics. Commun. ACM 12, JUNE 2014 (2013), 1–26. DOI:https://doi.org/10.1145/2602574 [4] Ronen Feldman. (2013). Techniques and applications for sentiment analysis. Commun. ACM 56, 4 (2013), 82. DOI:https:// doi.org/10.1145/2436256.2436274 [5] Anastasia Giachanou., Fabio Crestani. (2016). Like it or not: A survey of Twitter sentiment analysis methods. ACM Comput Surv 49, 2 (2016), Article 28; 1-41. DOI:https://doi.org/10.1145/2938640 [6] Harris, L., Rae, A. (2009). Social networks: The future of marketing for small business. J. Bus. Strategy 30, 5 (2009) 24–31. DOI:https://doi.org/10.1108/02756660910987581 [7] Kanakaraj, M., Guddeti, R. M. R. (2015). NLP based sentiment analysis on Twitter data using ensemble classifiers. In 2015 3rd International Conference on Signal Processing, Communication and Networking, ICSCN 2015. DOI:https://doi.org/10.1109/ ICSCN.2015.7219856 [8] Efstratios Kontopoulos., Christos Berberidis., Theologos Dergiades., Nick Bassiliades. (2013). Ontology-based sentiment analysis of twitter posts. Expert Syst. Appl. 40, 10 (2013), 4065–4074. DOI:https://doi.org/10.1016/j.eswa.2013.01.001 [9] Shamanth Kumar., Fred Morstatter., and Huan Liu. (2013). Twitter Data Analytics. Springer (2013), 89. DOI:https://doi.org/ 10.1007/978-1-4614-9372-3 [10] Haewoon Kwak., Changhyun Lee., Hosung Park., Moon., Sue. (2010). What is Twitter , a Social Network or a News Media? Int. World Wide Web Conf. Comm. (2010), 1–10. DOI:https://doi.org/10.1145/1772690.1772751 [11] Li, Yung Ming., Shiu, Ya Lin . (2012). A diffusion mechanism for social advertising over microblogs. Decis. Support Syst. 54, 1 (2012), 9–22. DOI:https://doi.org/10.1016/j.dss.2012.02.012 [12] Liu, Bing. (2012). Sentiment Analysis and Opinion Mining. May (2012). [13] Liu, Xia ., Burns, Alvin C. Hou, Yingjian. (2017). An Investigation of Brand-Related User-Generated Content on Twitter. J. Advert. 46, 2 (April 2017), 236–247. DOI:https://doi.org/10.1080/00913367.2017.1297273 [14] Martínez, Paloma., Martínez, José L., Segura-Bedmar, Isabel., Moreno-Schneider, Julián., Luna, Adrián., Revert, Ricardo. (2016). Turning user generated health-related content into actionable knowledge through text analytics services. Comput. Ind. 78, (2016), 43–56. DOI:https://doi.org/10.1016/j.compind.2015.10.006 [15] Medhat., Walaa., Hassan., Ahmed Korashy., Hoda. (2014). Sentiment analysis algorithms and applications: A survey. Ain Shams Eng. J. 5, 4 (2014), 1093–1113. DOI:https://doi.org/10.1016/j.asej.2014.04.011 [16] Mostafa., Mohamed, M. (2013). More than words: Social networks’ text mining for consumer brand sentiments. Expert Syst. Appl. 40, 10 (2013), 4241– 4251. DOI:https://doi.org/10.1016/j.eswa.2013.01.019 [17] Mostafa., Mohamed, M. (2013). An emotional polarity analysis of consumers’ airline service tweets. Soc. Netw. Anal. Min. 3, 3 (September 2013), 635–649. DOI:https://doi.org/10.1007/s13278-013-0111-2 [18] Nasukawa, T., Nasukawa, T.,Yi, J., Yi, J. (2003). Sentiment analysis: Capturing favorability using natural language processing. Proceedings 2nd Int. Conf. Knowl. capture (2003) 70–77. DOI:https://doi.org/10.1145/945645.945658 [19] Park, Hyejune., Kyung Kim, Youn. (2014). The role of social network websites in the consumerbrand relationship. J. Retail. Consum. Serv. 21, 4 (2014), 460–467. DOI:https://doi.org/10.1016/j.jretconser.2014.03.011 [20] Poushter., Jacob. (2016). Smartphone Ownership and Internet Usage Continues to Climb in Emerging Economies. Pew Res.Cent. (2016) 1–5. DOI:https://doi.org/10.1017/CBO9781107415324.0 04 [21] Prager., John. (2006). Open-Domain Question– Answering. Found. Trends® Inf. Retr. 1, 2 (2006) 91–231. DOI:https://doi.org/ 10.1561/1500000001 [22] Trai Press Release. 2017. Telecom Regulatory Authority of India. July 65 (2017) 1–19. [23] Sandeep Ranjan. (2017). Online Word of Mouth Communication in Bollywood Tweet Dataset. Int. J. Res. Appl. Sci. Eng. Technol. 5, Xii (2017), 1442– 1449. Retrieved from http://ijraset.com/fileserve.php?FID=12224 [24] Ravi, Kumar., Ravi, Vadlamani . (2015). A survey on opinion mining and sentiment analysis: Tasks, approaches and applications. Elsevier B.V. DOI:https://doi.org/10.1016/j.knosys.2015.06.015 [25] Sandeep, Ranjan., Sood, Sumesh. (2016). Exploring Twitter for Large Data Analysis. 6, 7 (2016) 325–330. [26] Pawel Sobkowicz., Michael Kaschesky., Guillaume Bouchard. (2012). Opinion mining in social media: Modeling, simulating, and forecasting political opinions in the web. Gov. Inf. Q. 29, 4 (2012), 470–479. DOI:https://doi.org/10.1016/j.giq.2012.06.005 [27] Taxidou, Io., Fischer, Peter. (2013). Realtime analysis of information diffusion in social media. Proc. VLDB Endow. 6, 12 (2013), 1416–1421. DOI:https://doi.org/10.14778/2536274.2536328 [28] Tsai., Angela Charng-rurng. (2013). Building a Concept- Level Sentiment on Commonsense Knowledge. Ieee Intell. Syst. MARCH/APRI, (2013), 22–30. DOI:https://doi.org/10.1109/MIS.2013.45 [29] Verbeke, Wouter., Martens, David., Baesens, Bart. (2014). Social network analysis for customer churn prediction. Appl. Soft Comput. J. 14, PART C (2014), 431–446. DOI:https://doi.org/10.1016/j.asoc.2013.09.017 [30] Wan, Yun., Gao, Qigang. (2016). An Ensemble Sentiment Classification System of Twitter Data for Airline Services Analysis, In: Proceedings - 15th IEEE Int. Conf. Data Min. Work. ICDMW 2015 (2016), 1318– 1325. DOI:https://doi.org/10.1109/ICDMW.2015.7 [31]Wilson, T., Wiebe, J., Hoffman, P (2005). Recognizing contextual polarity in phrase level sentiment analysis. Acl 7, 5 (2005) 12– 21. DOI:https://doi.org/10.3115/1220575.1220619 [32] Zhao, Wayne Xin., Jiang, Jing., Weng, Jianshu., He, Jing., Lim, Ee-Peng., Yan, Hongfei., Li, Xiaoming. (2011). Comparing Twitter and Traditional Media Using Topic Models. Proc. Eur. Conf. Inf. Retr. (2011), 338–349. DOI:https://doi.org/10.1007/978-3- 642-20161-5_34 [33] World Internet Users Statistics and 2017 World Population Stats. Retrieved June 21, 2017 from http:// www.internetworldstats.com/stats.htm [34] Twitter Usage Statistics - Internet Live Stats. Retrieved June 20, 2017 from http://www.internetlivestats.com/twitter-statistics/ [35] Statistics. Retrieved June 29, 2017 from http://www.itu.int/en/ITUD/Statistics/Pages/stat/default.aspx [36] About Bharti Airtel. Retrieved June 28, 2017 from http://www.airtel.in/about-bharti/about-bhartiairtel [37] Company History | About Vodafone India. Retrieved July 23, 2017 from https://www.vodafone.in/about-us/companyhistory?section=consumer [38] Products & Brands :: Reliance Industries Limited. Retrieved June 29, 2017 from http://www.ril.com/OurCompany/ProductsAnd Brands.aspx [39] Cellular Operators Association of India. Retrieved July 17, 2017 from https://coai.com/#research-and-reports |