Published August 20, 2024
| Version v1
Dataset
Open
Leveraging LLMs for Efficient Topic Reviews
-
1.
Pontificial Catholic University of Valparaiso
Description
Our experiment started with the formulation of a specific research topic. From this topic, we designed a precise query to extract relevant papers from the Scopus database. The query was carefully constructed using a combination of keywords related to the literature review and automation.
Scopus Query Statement
Q1: ( literature AND review OR slr OR overview OR survey OR insights OR screening) AND ( semi-automated OR semi-automation OR automation ) OR ( machine AND
learning OR deep AND learning )
Files
scopuslr.csv
Files
(305.0 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:03297b68dc1cf0ba31e83d2abdce67b8
|
305.0 MB | Preview Download |
Additional details
Dates
- Available
-
2024-02-13
Software
- Repository URL
- https://github.com/Zickbad/Topic-modeling-BERTopic-SOLAR
- Programming language
- Python