Automated Code Inspection of Twitter Data using Software Repository Mining
Pooja Nair1, Abirami G.2
1Pooja Nair*, Computer science and engineering, SRM institute of science and technology, Kattankulathur, India.
2G. Abirami, Computer science and engineering, SRM institute of science and technology, Kattankulathur, India.
Manuscript received on February 28, 2020. | Revised Manuscript received on March 22, 2020. | Manuscript published on March 30, 2020. | PP: 5419-5422 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9876038620/2020©BEIESP | DOI: 10.35940/ijrte.F9876.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The project proposes an application that reviews and analysis tweets on twitter application by doing software repository mining on the information gathered. The main purpose of this project is to investigate a few computational strategies to estimate the effect of web based life. Propelled by the techniques recently created to break down software systems and other unique frameworks, these strategies measure different static and dynamic parts of interpersonal organizations, the possibility and advantages of these estimation techniques with regards to Twitter is shown. By investigating the tweets the connection between the imperativeness of the news and the volume of the related tweets can be seen, which gets refreshed after every constant period of time. Using this strategy the tweets are ranked according to the highest priority.
Keywords: Data Mining, Natural Language Processing, Priority, Software maintenance, Twitter API.
Scope of the Article: Data Mining.