https://github.com/dcavar/mueller_report_nlp_analysis
This repo contains the data and results of our NLP-based Mueller Report Analysis, Knowledge Graphs, entitites, relations, and so on.
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.7%) to scientific vocabulary
Keywords
Repository
This repo contains the data and results of our NLP-based Mueller Report Analysis, Knowledge Graphs, entitites, relations, and so on.
Basic Info
- Host: GitHub
- Owner: dcavar
- License: mit
- Default Branch: master
- Homepage: https://nlp-lab.org/
- Size: 4.88 KB
Statistics
- Stars: 4
- Watchers: 6
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
Mueller Report NLP Analysis
Created: 04/18/2019
Last Change: 04/19/2019
This repo contains the data and results of our NLP-based Mueller Report Analysis, Knowledge Graphs, entitites, relations, and so on.
Results will be published incrementaly as we identify them.
This is a collaborative effort between:
- The NLP-Lab
- Semiring Inc.
- numerous volunteers...
Team
The team consists of:
- Damir Cavar
- Stefan Geissler
- Maanvitha Gongala
- Joshua Herring
- Mureli Kammili
- Chaitanya Patil
- S Panicker
- Umang Mehta
Log
04/18/2019
In the pre-rocessing phase we prepared the two Mueller report volumes to be able to run corpus analyses on them. This is what we did after the document was published on the 18th of April.
We converted the PDF to an editable raw text format:
- The raw text has been generated in two ways:
- We used Adobe Acrobat to OCR the text and export the raw Unicode encoded text.
- We
- A paragraph is one line of text preceded and followed by an empty line.
- Footnotes are tagged in the text and a footnote text is a paragraph that starts with a footnote tag
- Section titles are paragrpahs that start with a
tag. - Redacted portions of text are tagged with a
tag. - We removed words and characters that were surrounded by square brackets (e.g. [T]he...).
We annotated the footnotes in the text (a lot of footnotes) using a tag in the text:
where # is the number of the footnote, eg.
The
Owner
- Name: Damir Cavar
- Login: dcavar
- Kind: user
- Location: Bloomington, IN
- Company: Indiana University
- Website: http://damir.cavar.me/
- Repositories: 29
- Profile: https://github.com/dcavar
GitHub Events
Total
Last Year
Committers
Last synced: 10 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Damir Cavar | d****r@m****m | 5 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 8 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0