Mining Stack Overflow for API class recommendation using DOC2VEC and LDA
Abstract To address the lexical gaps between natural language (NL) queries and Application Programming Interface (API) documentations, and between NL queries and programme code, this study developed a novel approach for recommending Java API classes that are relevant to the programming tasks descri...
Saved in:
Main Authors: | Wai Keat Lee, Moon Ting Su |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-10-01
|
Series: | IET Software |
Subjects: | |
Online Access: | https://doi.org/10.1049/sfw2.12023 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Detection the topics of Facebook posts using text mining with Latent Dirichlet Allocation (LDA) algorithm
by: Shahlaa Mashhadani
Published: (2025-01-01) -
Ketimpangan Ekonomi Jawa dan Luar Jawa dan Perkembangan Perdagangan Antarpulau di Indonesia
by: Haryono Rinardi, et al.
Published: (2023-06-01) -
Numerical simulation of fractal interface effect of mining-caused activation of fault
by: Yu Guangming, et al.
Published: (2002-01-01) -
An Observational Study on React Native (RN) Questions on Stack Overflow (SO)
by: Luluh Albesher, et al.
Published: (2023-01-01) -
Cross-Community Question Relevance Prediction for Stack Overflow and GitHub
by: Song Yu, et al.
Published: (2025-01-01)