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  1. An introduction to Natural Language Processing for NLP beginners with some Python know-how. Created for GU's Massive Data Institute in fall 2020 by Jaren Haber, PhD

    Jupyter Notebook 5 3

  2. Replication code for "Sorting Schools: A Computational Analysis of Charter School Identities and Stratification" research article by Jaren Haber, UC Berkeley. Paper investigates the relationships b…

    Jupyter Notebook 2 1

  3. Word embedding models and text data from charter school websites for workshop and hackathon of TextXD 2018 at BIDS, UC Berkeley.

    Jupyter Notebook 1 2

  4. Forked from comp-strat/web_scraping

    Code and data for the research team scraping charter websites using scrapy, requests, Selenium, and wget with Python, shell, and Docker. This is the foundation of analyses into charter schools' lin…

    Jupyter Notebook

  5. An introduction to web-crawling/scraping for beginners with some Python know-how. Created for GU's Massive Data Institute in spring 2021 by Jaren Haber, PhD

    Jupyter Notebook 1 1

  6. This code takes in JSTOR OCR raw text and expert-generated dictionaries, creates predictive models based on hand-coded training data (per perspective), uses these to predict remaining doc labels, a…

    Jupyter Notebook 3 1

201 contributions in the last year

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Contribution activity

May 2022

8 contributions in private repositories May 13 – May 19

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