NIRMAL: Automatic Identification of Software Relevant Tweets Leveraging Language Model

• Main Authors: SHARMA, Abishek, TIAN, Yuan, David LO
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Computer Sciences; Databases and Information Systems; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/3194; https://ink.library.smu.edu.sg/context/sis_research/article/4195/viewcontent/Nirmal_SANER_2015_av.pdf
• Institution: Singapore Management University

Twitter is one of the most widely used social media platforms today. It enables users to share and view short 140-character messages called 'tweets'. About 284 million active users generate close to 500 million tweets per day. Such rapid generation of user generated content in large magnit...