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OONI - Uganda's Social Media Tax through the lens of network measurements
This study is part of an ongoing effort to examine internet censorship in Uganda and in more than 200 other countries around the world.

The Open Observatory of Network Interference (OONI) and DefendDefenders (The East and Horn of Africa Human Rights Defenders Project) collaborated on a joint research study to examine internet censorship in Uganda through the collection and analysis of network measurements. The aim of this study is to document internet censorship in Uganda through the analysis of empirical data.

The following sections provide information about Uganda’s new social media tax. We also document our methodology and present the findings from our analysis.
censorship  web  uganda  africa  lang:en  studies  internet  social  network 
yesterday by whilelm
One Chart, Nine Tools – Revisited · Lisa Charlotte Rost
"2.5 years ago I wrote an article recreating the same bubble chart with 24 different charting tools: twelve charting apps and twelve libraries/frameworks. Afterward, I wrote an article for SOURCE explaining what I had learned during this experiment.

During the last 2.5 years, the tool landscape changed. It’s time to look at it again! I will review three fresh tools (Infogram, Flourish, Data Illustrator), will review three already reviewed tools freshly (Plotly, Google Sheets, Datawrapper) and update three other ones with better descriptions and/or GIFs (Tableau Public, RAW, Adobe Illustrator). Scroll to the end of this article if you’re curious about my decisions what I included and excluded."
type:article  lang:en  Review  Tools  Visualization  DataAnalysis 
14 days ago by sumomi
oznu/docker-homebridge: Homebridge Docker. HomeKit support for the impatient using Docker on x86_64, Raspberry Pi (armhf) and ARM64.
Homebridge Docker. HomeKit support for the impatient using Docker on x86_64, Raspberry Pi (armhf) and ARM64.
Docker  Homebridge  SmartHome  lang:en 
29 days ago by DASKAjA
nlp - Similarity between two text documents - Stack Overflow
The common way of doing this is to transform the documents into tf-idf vectors, then compute the cosine similarity between them. Any textbook on information retrieval (IR) covers this. See esp. Introduction to Information Retrieval, which is free and available online.
lang:en  GitHub  PHP  InformationRetrievel 
29 days ago by DASKAjA
cjhutto/vaderSentiment: VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts fro
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
lang:en  GitHub  PHP  InformationRetrievel 
29 days ago by DASKAjA
yooper/php-text-analysis: PHP Text Analysis is a library for performing Information Retrieval (IR) and Natural Language Processing (NLP) tasks using the PHP language
PHP Text Analysis is a library for performing Information Retrieval (IR) and Natural Language Processing (NLP) tasks using the PHP language
GitHub  InformationRetrievel  PHP  lang:en 
29 days ago by DASKAjA
Tf-idf Transformer - PHP-ML - Machine Learning library for PHP
Tf–idf, short for term frequency–inverse document frequency, is a numerical statistic that is intended to reflect how important a word is to a document in a collection or corpus.
lang:en  MachineLearning  InformationRetrievel  PHP 
29 days ago by DASKAjA
Keycloak
Add authentication to applications and secure services with minimum fuss. No need to deal with storing users or authenticating users. It's all available out of the box.

You'll even get advanced features such as User Federation, Identity Brokering and Social Login.

For more details go to about and documentation, and don't forget to try Keycloak. It's easy by design!
lang:en  Security  authentication  Identity  AccessManagement 
5 weeks ago by DASKAjA
All posts - Ted is writing things
On privacy, research, and privacy research.
lang:en  Blog  privacy  Research  statistics 
5 weeks ago by DASKAjA
Jeremy Howard: The wonderful and terrifying implications of computers that can learn | TED Talk
What happens when we teach a computer how to learn? Technologist Jeremy Howard shares some surprising new developments in the fast-moving field of deep learning, a technique that can give computers the ability to learn Chinese, or to recognize objects in photos, or to help think through a medical diagnosis. (One deep learning tool, after watching hours of YouTube, taught itself the concept of "cats.") Get caught up on a field that will change the way the computers around you behave ... sooner than you probably think.
DeepLearning  MachineLearning  TED  Talk  Video  lang:en 
6 weeks ago by DASKAjA

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