Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews

12 April 2021

Papers citing "Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews"

10 / 10 papers shown

Title
Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Mohit Chaudhary Chirag Jain Preethu Rose Anish 36 0 0 07 May 2025
APIContext2Com: Code Comment Generation by Incorporating Pre-Defined API Documentation Ramin Shahbazi Fatemeh H. Fard 36 2 0 03 Mar 2023
On the Effectiveness of Pretrained Models for API Learning M. Hadi Imam Nur Bani Yusuf Ferdian Thung K. Luong Jiang Lingxiao Fatemeh H. Fard David Lo 30 13 0 05 Apr 2022
Pre-Trained Neural Language Models for Automatic Mobile App User Feedback Answer Generation Yue Cao Fatemeh H. Fard 21 7 0 04 Feb 2022
On the validity of pre-trained transformers for natural language processing in the software engineering domain Julian von der Mosel Alexander Trautsch Steffen Herbold 40 67 0 10 Sep 2021
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 243 1,452 0 18 Mar 2020
Adversarial Training for Aspect-Based Sentiment Analysis with BERT Akbar Karimi L. Rossi Andrea Prati 215 99 0 30 Jan 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 232 438 0 25 Sep 2019
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 258 1,433 0 22 Aug 2019
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 284 31,267 0 16 Jan 2013