Comments (2)
Indeed. Currently, the only way to use Scopus is search_scopus()
which sends a query directly to the Scopus web API.
The latest release (v1.0.4) added a new load_csv()
function that can load any CSV file. It will work with Scopus CSV files and it will gives you common attributes (title, abstract, author, date, etc.), but it will not interpret all the column names.
Adding a load_scopus_csv()
is still part of future work.
from litstudy.
Thank you for getting back to me, that is very helpful!
from litstudy.
Related Issues (20)
- 'No Edges Given' for Network Analysis HOT 4
- ValueError: n_components must be < n_features; got 50 >= 47 HOT 2
- `build_corpus` always removes words having a frequency below 5 HOT 4
- Different results from unique() and difference of deduplicated set HOT 2
- module 'networkx' has no attribute 'to_scipy_sparse_matrix' HOT 2
- Incompability with gensim 4 HOT 1
- Unexpected results from litstudy.plot_author_histogram() HOT 2
- Listing document titles HOT 3
- Support for google scholar HOT 1
- refine_scopus - low it/s speed; necessary to refine every time? HOT 1
- TypeError: object of type 'method' has no len() HOT 1
- Saving language models
- Documentation on search_ function queries HOT 3
- Search_semanticscholar with list
- Scopus400Error: Error translating query - Refining results with "source title" query argument HOT 6
- train_lda_model() fails to access gensim HOT 4
- Scopus400Error: Exceeds the maximum number allowed for the service level. HOT 1
- Scopus exceeds csv field limit
- SemanticScholar search optimization HOT 2
- DocumentIdentifier.matches() is case-sensitive
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