M. Severo, A. , and A. Romele, Soft Data and Public Policy: Can Social Media Offer Alternatives to Official Statistics in Urban Policymaking, Policy & Internet, vol.8, issue.3, pp.354-372, 2016.
DOI : 10.1002/poi3.127

J. R. Hibbing and E. Theiss-morse, Introduction: Studying the American people's attitudes toward government, What is it about government that Americans dislike, pp.1-7, 2001.

S. J. Rosenstone and J. Hansen, Mobilization, participation, and democracy in America, 1993.

. Janssen, N. P. Marijn, E. L. Rana, Y. K. Slade, and . Dwivedi, Trustworthiness of digital government services: deriving a comprehensive theory through interpretive structural modelling, Public Management Review, pp.1-25, 2017.
DOI : 10.1080/14719037.2017.1305689
URL : https://www.tandfonline.com/doi/pdf/10.1080/14719037.2017.1305689?needAccess=true

M. Shareef, Y. K. Akhter, V. Dwivedi, U. Kumar, and . Kumar, Reformation of public service to meet citizens' needs as customers: Evaluating SMS as an alternative service delivery channel, Computers in Human Behavior, vol.61, pp.255-270, 2016.

Y. K. Dwivedi, M. Akhtershareef, A. C. Simintiras, and B. Vishanthweerakkody, A generalised adoption model for services: A cross-country comparison of mobile health (m-health), Government Information Quarterly, vol.33, issue.1, pp.174-187, 2016.

F. Mohammed, O. Ibrahim, and N. , Factors influencing cloud computing adoption for e-government implementation in developing countries: Instrument development, Journal of Systems and Information Technology, vol.18, issue.3, pp.297-327, 2016.
DOI : 10.1108/jsit-01-2016-0001

R. Sharma, A. Sharma, and R. R. Singh, E-governance & cloud computing: technology oriented government policies, International Journal of Research in IT & Management, vol.2, issue.2, pp.584-593, 2012.

V. Grubmüller, K. Götsch, and B. Krieger, Social media analytics for future oriented policy making, European Journal of Futures Research, vol.1, issue.1, p.20, 2013.

E. Ahmad and S. , Jeong, Kuk-Hwan. E-Government, The Road to Innovation; Principles and Experiences in Korea, 2006.

N. Joseph, P. Grover, P. Polakikishorrao, and . Vigneswarailavarasan, Deep Analyzing Public Conversations: Insights from Twitter Analytics for Policy Makers, Conference on e-Business, e-Services and e-Society, pp.239-250, 2017.
DOI : 10.1007/978-3-319-68557-1_22
URL : https://hal.archives-ouvertes.fr/hal-01768515

N. P. Rana, K. Yogesh, M. D. Dwivedi, and . Williams, Analysing challenges, barriers and CSF of egov adoption, Transforming Government: People, Process and Policy, vol.7, pp.177-198, 2013.
DOI : 10.1108/17506161311325350

M. Sadiku, . No, M. Sarhan, O. D. Musa, and . Momoh, Cloud computing: opportunities and challenges, IEEE potentials, vol.33, issue.1, pp.34-36, 2014.

T. Clohessy, T. Acton, and L. Morgan, Smart City as a Service (SCaaS): a future roadmap for e-government smart city cloud computing initiatives, Proceedings of the 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing, pp.836-841, 2014.
DOI : 10.1109/ucc.2014.136
URL : https://aran.library.nuigalway.ie/bitstream/10379/7280/1/Smart_City_as_a_Service_SCaaS_-_A_Future.pdf

K. Kapoor, N. P. Kuttimanitamilmani, . Rana, Y. K. Pushppatil, S. Dwivedi et al., Advances in social media research: Past, Present and Future, Information Systems Frontiers, pp.1-28, 2017.
DOI : 10.1007/s10796-017-9810-y
URL : https://link.springer.com/content/pdf/10.1007%2Fs10796-017-9810-y.pdf

M. Hossain, Y. K. Alamgir, C. Dwivedi, C. Chan, and A. Standing, Sharing Political Content in Online Social Media: A Planned and Unplanned Behaviour Approach, Information Systems Frontiers, pp.1-17, 2018.
DOI : 10.1007/s10796-017-9820-9
URL : https://cronfa.swan.ac.uk/Record/cronfa37734/Download/0037734-22122017113237.pdf

J. Bertot, P. T. Carlo, D. Jaeger, and . Hansen, The impact of polices on government social media usage: Issues, challenges, and recommendations, Government information quarterly, vol.29, issue.1, pp.30-40, 2012.

A. Ceron and F. , The "Social Side" of Public Policy: Monitoring Online Public Opinion and Its Mobilization During the Policy Cycle, Policy & Internet, vol.8, issue.2, pp.131-147, 2016.

S. Stieglitz and L. Dang-xuan, Social media and political communication: a social media analytics framework, Social Network Analysis and Mining, vol.3, issue.4, pp.1277-1291, 2013.
DOI : 10.1007/s13278-012-0079-3

H. Purohit, A. Hampton, V. L. Shalin, A. P. Sheth, J. Flach et al., What kind of# conversation is Twitter? Mining# psycholinguistic cues for emergency coordination, Computers in Human Behavior, vol.29, issue.6, pp.2438-2447, 2013.
DOI : 10.1016/j.chb.2013.05.007
URL : https://corescholar.libraries.wright.edu/cgi/viewcontent.cgi?article=1126&context=knoesis

B. Chae and . Kevin, Insights from hashtag# supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research, International Journal of Production Economics, vol.165, pp.247-259, 2015.
DOI : 10.1016/j.ijpe.2014.12.037

X. Shuai, A. Pepe, and J. Bollen, How the scientific community reacts to newly submitted preprints: Article downloads, twitter mentions, and citations, PloS one, vol.7, issue.11, p.47523, 2012.
DOI : 10.1371/journal.pone.0047523
URL : https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0047523&type=printable

C. Mcnaught and P. Lam, Using Wordle as a supplementary research tool, The qualitative report, vol.15, p.630, 2010.

B. Liu, Sentiment analysis and opinion mining, Synthesis lectures on human language technologies, vol.5, issue.1, pp.1-167, 2012.

C. Llewellyn, C. Grover, B. A. , J. Oberlander, and R. Tobin, Extracting a topic specific dataset from a twitter archive, International Conference on Theory and Practice of Digital Libraries, pp.364-367, 2015.

R. Cohen and D. Ruths, Classifying political orientation on Twitter: It's not easy!, ICWSM, 2013.

S. A. Hale, Global connectivity and multilinguals in the Twitter network, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp.833-842, 2014.

A. Herda?delen, A. Wenyunzuo, Y. Gard-murray, and . Bar-yam, An exploration of social identity: The geography and politics of news-sharing communities in twitter, Complexity, vol.19, issue.2, pp.10-20, 2013.

M. Walther and M. Kaisser, Geo-spatial event detection in the twitter stream, European conference on information retrieval, pp.356-367, 2013.

M. Mathioudakis and N. Koudas, Twittermonitor: trend detection over the twitter stream, Proceedings of the 2010 ACM SIGMOD International Conference on Management of data, pp.1155-1158, 2010.

P. Singh, R. Singh-sawhney, and K. Singh-kahlon, Sentiment analysis of demonetization of 500 & 1000 rupee banknotes by Indian government, 2017.

. Aws--amazon-ec2,

J. Van-den-broeck, S. Cunningham, R. Eeckels, and K. , Data cleaning: detecting, diagnosing, and editing data abnormalities, PLoS medicine, vol.2, issue.10, p.267, 2005.

E. Haddi, X. Liu, and Y. Shi, The role of text pre-processing in sentiment analysis, Procedia Computer Science, vol.17, pp.26-32, 2013.

P. Singh, R. Singh-sawhney, and K. Singh-kahlon, Forecasting the 2016 US Presidential Elections Using Sentiment Analysis, Conference on eBusiness, e-Services and e-Society, pp.412-423, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01768531

S. M. Mohammad and P. D. Turney, Emotions evoked by common words and phra ses: Using Mechanical Turk to create an emotion lexicon, Proceedings of the NAACL HLT 2010 workshop on computational approaches to analysis and generation of emotion i n text, pp.26-34, 2010.

G. Ou, W. Chen, T. Wang, Z. Wei, L. I. Binyang et al., Exploiting community emotion for microblog event detection, Proc eedings of the 2014 Conference on Empirical Methods in Natural Language Processing (E MNLP), pp.1159-1168, 2014.

. Business-standard and . News,

, Business Standard News, issue.b

. Ndtv-news,

A. Amirkhanyan and C. , Density and Intensity-Based Spatiotempora l Clustering with Fixed Distance and Time Radius, Conference on e-Business, e-Servic es and e-Society, pp.313-324, 2017.