fracapuano/Spectroid

Final project for the "Deep Natural Language Processing" course @ PoliTo, 2022/2023

20
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Experimental

This project helps researchers and academics categorize scientific papers more effectively. By taking a collection of paper titles and abstracts, it can produce highly accurate topic classifications, similar to how journal editors or librarians might categorize submissions. The primary users are researchers, librarians, or information scientists who need to organize or analyze large volumes of academic literature.

No commits in the last 6 months.

Use this if you need to automatically and accurately classify a large dataset of scientific papers based on their content and citation relationships.

Not ideal if you are looking to classify non-academic text or if you do not have access to structured citation metadata.

academic-research paper-classification literature-review citation-analysis information-retrieval
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 0 / 25

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Stars

7

Forks

Language

Python

License

Apache-2.0

Last pushed

Feb 14, 2023

Commits (30d)

0

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