Real-time twitter data analytic using stream analytics in microsoft azure | |
| Author | Avula, Kavya |
| Call Number | AIT RSPR no.ICT-18-08 |
| Subject(s) | Microsoft Azure (Computing platform) Big data Data mining Twitter--Social aspects |
| Note | A research submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information and Communication Technologies |
| Publisher | Asian Institute of Technology |
| Abstract | Stream processing is one of the most critical computing rages at the moment. This amplifying absorption on stream processing is derived from the demand of countless applications based on internet which give birth to such immense amount of data streams. The processing of such immense data can be of assistance to extort beneficial analytics and utilize for decision making systems. Azure stream analytics develops and deploys solutions to obtain real-time data from devices and applications. Social media is the attention seeker these days. Opinions, be it public or private, regarding an ample array of topics can be put into words and be distributed constantly through various social media platforms. The social media platform which is now gaining fame at a fast rate is Twitter. Twitter has a family of 300 million users. This Twitter family generates an ample quantity of data every single day. Twitter provides organizations a rapid and productive approach to analyze the customers view towards the critical victory in the market site. In this study, an analytical skeleton will be developed for analyzing the Twitter data. Sentiment analysis for the product "iPhone" as a case study will be analyzed. The skeleton contains data intake, stream processing with Microsoft Azure stream analytics and visualization with Microsoft Power BI. |
| Year | 2018 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information and Communication Technology (ICT) |
| Chairperson(s) | Guha, Sumanta; |
| Examination Committee(s) | Teerapat Sanguankotchakorn;Bohez, Erik L.J.;Nicole, Olivier; |
| Scholarship Donor(s) | AIT Fellowship; |
| Degree | Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2018 |