A novel hybrid CNN-LSTM approach for assessing StackOverflow post quality
Maintaining the content quality on social media Q&A platforms is pivotal for user attraction and retention. Automating post quality assessment offers benefits such as reduced moderator workload, amplified community impact, enhanced expert user recognition, and importance to expert feedback. Whil...
Main Authors: | Anwar Zeeshan, Afzal Hammad, Ahsan Ali, Iltaf Naima, Maqbool Ayesha |
---|---|
Format: | Article |
Language: | English |
Published: |
De Gruyter
2023-11-01
|
Series: | Journal of Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1515/jisys-2023-0057 |
Similar Items
-
Answers or no answers : studying question answerability in stack overflow
by: Chua, Alton Yeow Kuan, et al.
Published: (2020) -
Visualizing relation between tags in StackOverflow
by: Teong, Ke Ming
Published: (2016) -
Hot question prediction in Stack Overflow
by: Li Xian Zhao, et al.
Published: (2021-02-01) -
Standard refrigeration and air conditioning : questions and answers/
by: 247465 Elonka, Stephen Michael, et al.
Published: (1973) -
Jeu de mots paronomasia: a StackOverflow-driven bug discovery approach
by: Yi Yang, et al.
Published: (2023-04-01)