updated colab link

Author: tiagolv

README.md

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 # YAKE! (Yet Another Keyword Extractor)
 
-[![ECIR'18 Best Short Paper](https://img.shields.io/badge/ECIR'18-Best%20Short%20Paper-brightgreen.svg)](http://ecir2018.org) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tiagolv/yakerf/blob/gh-pages/1YAKE.ipynb) [![PyPI Downloads](https://static.pepy.tech/badge/yake)](https://pepy.tech/projects/yake)
+[![ECIR'18 Best Short Paper](https://img.shields.io/badge/ECIR'18-Best%20Short%20Paper-brightgreen.svg)](http://ecir2018.org)
+[![PyPI Downloads](https://static.pepy.tech/badge/yake)](https://pepy.tech/projects/yake)
+[![PyPI - Python](https://img.shields.io/badge/python-3.10+-blue.svg)](https://pypi.org/project/YAKE/)
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)] (https://colab.research.google.com/github/LIAAD/yake/blob/gh-pages/1YAKE.ipynb)
 
 YAKE! is a lightweight unsupervised automatic keyword extraction method that uses text statistical features to select the most important keywords from a document. It requires no training, external corpus, or dictionaries, and works across multiple languages and domains regardless of text size.
 

docs-site/content/docs/--home.mdx

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 YAKE! is a light-weight unsupervised automatic keyword extraction method which rests on text statistical features extracted from single documents to select the most important keywords of a text. Our system does not need to be trained on a particular set of documents, neither it depends on dictionaries, external-corpus, size of the text, language or domain.
 
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tiagolv/yakerf/blob/gh-pages/1YAKE.ipynb)
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/LIAAD/yake/blob/gh-pages/1YAKE.ipynb)
 ---
 ## Background
 

docs-site/content/docs/-getting-started.mdx

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 title: Getting Started
 icon: GitCompareArrows
 ---
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tiagolv/yakerf/blob/gh-pages/1YAKE.ipynb)
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/LIAAD/yake/blob/gh-pages/1YAKE.ipynb)
 ## Installing YAKE!
 
 Installing Yake using pip:

docs-site/content/docs/about.mdx

@@ -9,17 +9,17 @@ This project was developed by LIAAD - Laboratory of Artificial Intelligence and
 
 ## Authors
 
-* **Ricardo Campos** is an assistant professor at the ICT Departmental Unit of the Polytechnic Institute of Tomar (IPT) and member of LIAAD-INESC TEC, the Artificial Intelligence and Decision Support Lab of U. Porto. He is PhD in Computer Science by the University of Porto (U. Porto). 
+* **Ricardo Campos** is an Assistant Professor at the Department of Computer Science, Faculty of Engineering, University of Beira Interior (UBI, Portugal), and a Senior Member of LIAAD-INESC TEC, the Artificial Intelligence and Decision Support Laboratory at the University of Porto (Portugal). He holds a Ph.D. in Computer Science from the University of Porto. 
 
-* **Vítor Mangaravite** is a research intern of LIAAD/INESC TEC - INESC Technology. He has MSc and BSc in Computer Science by Universidade Federal de Minas Gerais and Universidade Federal de Ouro Preto, respectively.
+* **Vítor Mangaravite** is, as of May 2025, a Senior Data Scientist at Banco Itaú (Brazil). He was a research intern at LIAAD-INESC TEC, the Artificial Intelligence and Decision Support Laboratory of the University of Porto (Portugal), from 2016 to 2018. He holds a Master’s degree in Computer Science from the Federal University of Minas Gerais (Brazil).
 
-* **Arian Pasquali** is a researcher associated to University of Porto and the Artificial Intelligence and Decision Support Laboratory at INESC TEC - INESC Technology. He has MSc in Computer Science by University of Porto with specialization in data mining.
+* **Arian Pasquali** is, as of May 2025, a Machine Learning Engineer at Faktion (Belgium) and a research associate at LIAAD-INESC TEC, the Artificial Intelligence and Decision Support Laboratory of the University of Porto (Portugal). He holds a Master’s degree in Computer Science from the University of Porto, with a specialization in data mining.
 
-* **Alípio M. Jorge** is an associate professor at the Department of Computer Science of the Faculty of Science of the U. Porto and the coordinator of LIAAD/INESC TEC - INESC Technology and Science, the Artificial Intelligence and Decision Support Lab of U. Porto since 2012. He is PhD in Computer Science by U. Porto. 
+* **Alípio M. Jorge** is a Full Professor at the Department of Computer Science, Faculty of Science, University of Porto (Portugal), and has been the coordinator of LIAAD-INESC TEC since 2012. He holds a Ph.D. in Computer Science from the University of Porto.
 
-* **Célia Nunes** is an Assistant Professor at the Department of Mathematics of the University of Beira Interior (UBI) and member of CMA - Center of Mathematics and Aplications, UBI. She is PhD in Mathematics by UBI, MSc. on Applied Mathematics by the University of Évora (UE) and BSc. in Mathematics - Probability and Statistics (UE).
+* **Célia Nunes** is an Associate Professor at the Department of Mathematics, University of Beira Interior (UBI, Portugal), and a member of CMA - Center of Mathematics and Applications at UBI. She holds a Ph.D. in Mathematics from UBI.
 
-* **Adam Jatowt** is an Associate Professor at the Department of Computer Science, University of Innsbruck. He has received his Ph.D. in Information Science and Technology from the University of Tokyo, Japan in 2005.
+* **Adam Jatowt** is an Associate Professor at the Department of Computer Science, University of Innsbruck (Austria). He received his Ph.D. in Information Science and Technology from the University of Tokyo (Japan) in 2005.
 
 
 ## Aknowledgements