Customizing DisplaCy Render Data Visualization (Spacy and Python Tutorial for DH 10)

preview_player
Показать описание
In this video, I show you how to customize the data visualization method in DisplaCy, the render component of spaCy.

If you enjoy this video, please subscribe. I provide all my content at no cost. If you want to support my channel, please donate via

If there's a specific video you would like to see or a tutorial series, let me know in the comments and I will try and make it.

You can follow me at:
  1. Python Tutorials for Digital Humanities
  2. python
  3. digital humanities
  4. python for DH
  5. dh
  6. python tutorial
Рекомендации по теме
Customizing DisplaCy Render 0:08:19

Customizing DisplaCy Render Data Visualization (Spacy and Python Tutorial for DH 10)

Data Visualization with 0:09:13

Data Visualization with DisplaCy (Spacy and Python Tutorial for DH 09)

NLP Tutorial with 0:28:05

NLP Tutorial with Spacy Part-2 | PyCSR | Learn Python Online with Pankaj Soni

Training a custom 0:21:23

Training a custom spaCy model to recognise Canadian addresses

02- Tokenization| Displacy 0:22:45

02- Tokenization| Displacy | NER | POS | NLP Course with Python | 2021

Grouping spaCy Spans 0:04:22

Grouping spaCy Spans into a SpanGroup

NLP Tasks with 0:05:36

NLP Tasks with spaCy

Pixel displace op 0:02:55

Pixel displace op - byte size

Integrating Customized Reports, 0:41:08

Integrating Customized Reports, Dashboards & Analysis into Your Application

ANSP Streamlit demo 0:02:01

ANSP Streamlit demo

How to Add 0:07:15

How to Add Custom Factories with Language component in spaCy 3x (SpaCy 3x Tutorials)

Building a Document 0:48:25

Building a Document Redactor NLP App with Streamlit and SpaCy ( Plus File Download)

Face and hand 0:00:34

Face and hand tracking in video meeting

The Best Jupyterlab 0:11:34

The Best Jupyterlab Extension That You Didn't Know Existed!

Embedded Data Visualization 0:47:59

Embedded Data Visualization in a Hadoop Environment

Information extraction Using 0:14:01

Information extraction Using NER and Dependency Parsing (Spacy, Python)

spaCy -N.L.P | 0:19:23

spaCy -N.L.P | all features Explained | Natural language processing

Build A Text 0:38:23

Build A Text Cleaning App with Streamlit Python & NeatText

Digital Visualization in 0:26:27

Digital Visualization in Architecture: ArchiCAD - BIM LECTURE NOTES 1

Self Service BI 0:50:33

Self Service BI for Enterprise and SMB Applications

31 - Quelques 0:15:59

31 - Quelques trucs additionnels - Découvrir TouchDesigner

Data Science and 1:19:33

Data Science and NLP

Thunderstruck | Videobolt.net 0:00:07

Thunderstruck | Videobolt.net Intros | Create a logo intro online in minutes

Exponential Growth in 0:00:35

Exponential Growth in a Network 4K

Комментарии
Автор

this is so useful. thanks so much for this resource. i learned a lot! cheers from Argentina

karen-
Автор

Hi, thanks for the video! Any idea how to force the output text to keep markdown? Thanks!

GHA
Автор

Great episode. Was not able to save the html.

My code is
with open(“Data-vis.html”, “w”) as f:
f.write(“html”)

I tried html instead of “html” but that throws an error.

Seeps like the open function doesn’t have the argument “html” nor html. It can’t produce html.

Any ideas?

runycalmera-business
Автор

Very nice video, been following along. Could we highlight sections of text based on who the speaker is. IE one color for blocks of text spoken by the narrator, another for a block of dialog colored differently based on which character is speaking.

zyxwvutsrqponmlkh
visit shbcf.ru