blob: ec4d20d6f6ff85a9e5b3a8cfbfd5abb441d31330 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
|
# megapixels dev
## installation
```
conda create -n megapixels python=3.7
pip install urllib3
pip install requests
pip install simplejson
pip install click
pip install pdfminer.six
pip install csvtool
npm install
```
## workflow
```
Paper in spreadsheet -> paper_name
-> S2 Search API -> paper_id
-> S2 Paper API -> citations
-> S2 Dataset -> full records with PDF URLs, authors, more citations
-> wget -> .pdf files
-> pdfminer.six -> pdf text
-> Stanford NER -> named entities (organizations)
-> Geocoding service -> lat/lngs
```
To begin, export `datasets/citations.csv` from the Google doc.
## Extracting data from S2 / ORC
The Open Research Corpus (ORC) is produced by the Allen Institute / Semantic Scholar (S2) / arXiv people. It may be downloaded here:
http://labs.semanticscholar.org/corpus/
### s2-search.py
Loads titles from citations file and queries the S2 search API to get paper IDs.
### s2-papers.py
Uses the paper IDs from the search entries to query the S2 papers API to get first-degree citations, authors, etc.
### s2-dump-ids.py
Extract all the paper IDs and citation IDs from the queried papers.
### s2-extract-papers.py
Extracts papers from the ORC dataset which have been queried from the API.
### s2-dump-pdf-urls.py
Dump PDF urls (and also IEEE urls etc) to pdfs.json, ieee.json, ....
### s2-fetch-pdfs.py
Fetch the files listed in pdfs.json and process them.
### s2-fetch-ieee.py
Fetch the files listed in ieee.json and process them.
### s2-extract-first-page.py
pdfminer the first page from the dumped PDFs.
### s2-extract-entities.py
Extract named entities from the mined text.
### s2-geocode.py
Geocode known entities from the database.
|
