2014/07/31 by Chirag Nagpal, Nagpal, Chirag, Khushboo Singhal +1
Computer Science · #Advanced Text Analysis Techniques #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Social and Information Networks (cs.SI) #Topic Modeling #Web Data Mining and Analysis #cs.IR #cs.SI
paper · pdf · doi:10.48550/arxiv.1407.8499
arxiv created 2014/07/31 · openalex publication_date 2014/07/31 · arxiv updated 2014/08/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Microblogging websites, especially Twitter have become an important means of communication, in today's time. Often these services have been found to be faster than conventional news services. With millions of users, a need was felt to classify users based on ambient metadata associated with their user accounts. We particularly look at the effectiveness of the profile description field in order to carry out the task of user classification. Our results show that such metadata can be an effective feature for any classification task.