---
tags: nlp digital-humanities machine-learning python scripting jupyter
---
# Digital Humanities and NLP

Welcome to series of workshops designed to provide you with a robust foundation in Natural Language Processing (NLP) and its related technologies. Each session below is crafted to offer practical, hands-on experience. Join us in this learning journey to unlock the full potential of NLP technologies. 

## For more information
For more information on digital humanities at Tufts, see the link below:
https://sites.tufts.edu/digitalhumanities


```{gallery-grid}
:grid-columns: 1
:grid-rows: 16

- header: "{fas}`book;pst-color-primary` 01 Gentle Introduction to NLP"
  content: "Introduction to the popular NLP Python package, the Natural Language Toolkit (NLTK), and expose you to common methodologies for wrangling textual data"
  link: "tutorials/01_gentleintrotoNLP.html"

- header: "{fas}`book;pst-color-primary` 02 Regex"
  content: "How use regular expressions (AKA regex) for simple text processing"
  link: "tutorials/02_PNRegex_Workshop6_28.html"

- header: "{fas}`book;pst-color-primary` 03 Webscraping I"
  content: "Static Webscraping with BeautifulSoup"
  link: "tutorials/03_Static_Webscraping_with_BeautifulSoup.html"

- header: "{fas}`book;pst-color-primary` 04 Webscraping II"
  content: "Dynamic Webscraping with Selenium"
  link: "tutorials/04_Dynamic_Webscraping_with_Selenium.html"

- header: "{fas}`book;pst-color-primary` 05 Webscraping III"
  content: "The Art of Webscraping: Scraping Reddit"
  link: "tutorials/05_Webscraping_III_Scraping_Reddit.html" 

- header: "{fas}`book;pst-color-primary` 06 Creating a simple search engine with Whoosh"
  content: "How to create and customize your own search engine so that you can easily and quickly search through your data"
  link: "tutorials/06_Search_Engine_workshop.html"

- header: "{fas}`book;pst-color-primary` 07 Textual Feature Extraction using Traditional Machine Learning"
  content: "How to conduct feature extraction on text using sci-kit learn"
  link: "tutorials/07_Textual_Feature_Extraction_using_Traditional_Machine_Learning.html"

- header: "{fas}`book;pst-color-primary` 08 Topic Modeling using Traditional Machine Learning"
  content: "How to conduct topic modelling on text using sci-kit learn"
  link: "tutorials/08_Topic_Modelling_using_Traditional_Machine_Learning.html"

- header: "{fas}`book;pst-color-primary` 09 Language Hacking"
  content: "Using spaCy for Morphosyntactic Analysis"
  link: "tutorials/09_Language_Hacking_workshop.html"

- header: "{fas}`book;pst-color-primary` 10 NER with spaCy"
  content: "Extracting Ancient Placenames using Named Entity Recognition and spaCy"
  link: "tutorials/10_NER_with_spaCy_for_geospatial_analysis.html"

```