A geofencing-based recent trends identification from twitter data

• Main Authors: M., Saef Ullah Miah, M., Sadid Tahsin, Azad, Saiful, Rabby, Gollam, M., Sirajul Islam, Uddin, Shihab, M., Masuduzzaman
• Format: Conference or Workshop Item
• Language: English
• Published: IOP Publishing 2020
• Subjects: QA Mathematics; QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/28788/1/A%20geofencing-based%20recent%20trends%20identification%20from%20twitter%20data.pdf; http://umpir.ump.edu.my/id/eprint/28788/; https://doi.org/10.1088/1757-899X/769/1/012008
• Institution: Universiti Malaysia Pahang

For facilitating users from information overloading by finding recent trends in twitter, several techniques are proposed. However, most of these techniques need to process extensive data. Therefore, in this paper, a geofencing-based recent trends identification technique is proposed, which acquires...