Semantic Capture of Relationships In Biological Literature (scribl)
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Updated
Jul 17, 2024 - Python
Semantic Capture of Relationships In Biological Literature (scribl)
Literature Scanner: Automated collection & analyses of the scientific literature.
training literature bert classification.
Retrieve PubMed articles, text-mining annotations, or molecular data from >35 Entrez databases via easy to use Python package - built on top of Entrez E-utilities API.
A web scrapping method to extract journal information from PubMed and Google Scholar using Python.
Text processing, data extraction, and rendering library for Shakespearean text.
For a corpus linguistics project, I created an information retrieval program called "You Are Not Alone". My phrase_finder() function searches for a self-identifying phrase in 4 large classic texts (The Souls of Black Folk, Jane Eyre, The Strange Case of Dr. Jekyll & Mr. Hyde, and Frankenstein). Standpoint: "So Matilda’s strong young mind continu…
Easiest way to get your bibliometrics data ready and prepared
get recommendations from arxiv based on your zotero library
This repo encapsulate a simple python procedure used for handling repetitive tasks during my Part-time Teaching Collaboration at Politecnico di Torino, winter 2020. I performed an indexing task of all gathered literature' paper material by Prof. A. Carpinteri during his carrer and now made available to students of Civil Engineering currently wor…
A wrapper for the scholarly library to scrape Google Scholar entries through a keyword search, and add suggested DOIs using CrossRef with habanero.
The program can be used to scrape the content from an article from web by an input of a set of URLs in a text file or a URL. This project uses newspaper3k and python-docx libraries. The output of this program will give a neatly modified Word Document in '.docx' format with the contents of the article.
Named Entity Resolution, Extraction, and Linking of Lexically Similar Names
Analysis code for knowledge discovery project
Set of Transforms for exploring the academic literature
Topic Modeling 200 Years of Russian Drama
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