NACSOS: NLP Assisted Classification, Synthesis and Online Screening
Open accessAbstract
NACSOS is a django site for managing collections of documents, screening or coding them by hand, and doing NLP tasks with them like topic modelling or classifiation. It was built for handling collections of scientific document metadata, but has extensions that deal with twitter data and parliamentary data. It currently contains many experimental, redundant or unsupported features, and is not fully documented. The part that deals with topic modelling is a fork of Allison J.B Chaney's tmv repository. It extends this by managing multiple topic models and linking these with various document collections. NACSOS is research software produced by the APSIS working group at the Mercator Research Institute on Global Commons and Climate Change MCC, and some parts of the repository are institution specific. We are in an ongoing process of generalising, and documenting.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A total of 2,373 documents were screened, of which 1,125 were included as relevant and coded for impacts and drivers.
“A total of 2,373 documents were screened by members of the author team using the NACSOS platform 48 , of which 1,125 were included as relevant and coded for impacts and drivers.”
From Machine-learning-based evidence and attribution mapping of 100,000 climate impact studies (2021) · cites this paper as [48]
The citation lists haven’t been fetched yet
Cited by 18
- Authors
- Callaghan, M., Müller-Hansen, F., Hilaire, J., & Lee, Y. T.
- Affiliations
- Potsdam Institute for Climate Impact Research (DE)
- Venue
- Zenodo
- Publisher
- Zenodo
- Published
- 2020-10-23
- OpenAlex
- W6893680185
- Cited by
- 18
- References
- 0
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 5 · 2023: 1 · 2022: 2 · 2021: 7
- Type
- software
- Language
- en
- Open access
- green
- zenodo.org
- Licence
- other-oa
- www.gnu.org/licenses/agpl.txt
- Locations
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, other-oa)
- Zenodo (CERN European Organization for Nuclear Research)
- Topics
- Social Sciences › General Social Sciences › Computational and Text Analysis Methods
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Text and Document Classification Technologies
- Keywords
- topic modeling, text classification, tweets, parliamentary data, web application, tobacco mosaic virus
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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