Open AccessAutomated Code Inspection of Twitter Data using Software Repository Mining
Author(s) -
P. K. R. Nair,
G. Abirami
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f9876.038620
Subject(s) - computer science , software , volume (thermodynamics) , code (set theory) , measure (data warehouse) , world wide web , social media , data science , data mining , physics , set (abstract data type) , quantum mechanics , programming language
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.