uncleflo
Registered since September 28th, 2017
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Get an Anonymous Phone Number to Keep Your Identity Safe From Unwanted Calls | Hushed - Secure second and temporary phone number app
Saved by uncleflo on February 12th, 2022.
Have you ever wondered why you’re getting calls from random 1-800 telemarketers that you’ve never heard of? Or better yet, a text pops up asking you to click on a sketchy weblink? Obviously, you never asked for these companies to contact you. So, how does this happen? The reality is, every time you include your real phone number on a form, whether it’s at a local fair to win a trip to Hawaii, or on a social media profile, the companies receiving your information may well be farming out this information to other companies that, in turn, want to market products to you. Even if you’ve asked this first company NOT to share your info with other companies, someone who’s uninterested in your consent could still have gathered up your number through sketchy means. Now once your real number is out, consider that it could be placed on more call lists that these companies might sell to other companies that could well go on to sell them to even more companies. Based on this, you can begin to get a sense of how one small, innocuous form you filled out has now translated into texts from a Romanian area code – whose message insists you click a weblink to find out the link brings you to “someone who likes you”.
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ClipSync – The easiest way to send text between computers and mobile devices with a simple copy paste
Saved by uncleflo on January 20th, 2022.
ClipSync is simply the easiest and fastest way to copy paste text between devices.And it’s 100% free and without ads. I developed this application because I needed it myselfand to get started in the world of Android development. First, you need to install the android app on your mobile device, and a Windows program on your PC. After ClipSync is set up, there will be a background service running on all your devices.This background service will automatically keep your clipboards synchronized. So there are onlytwo simple things you can do once the application is installed:
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Unicode character property - Wikipedia
Saved by uncleflo on June 23rd, 2019.
The Unicode Standard assigns character properties to each code point. These properties can be used to handle "characters" (code points) in processes, like in line-breaking, script direction right-to-left or applying controls. Slightly inconsequently, some "character properties" are also defined for code points that have no character assigned, and code points that are labeled like "<not a character>". The character properties are described in Standard Annex #44.
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Responsive web design tool, CMS, and hosting platform | Webflow
Saved by uncleflo on April 15th, 2019.
The power to design, build, and launch responsive websites visually, while writing clean, semantic code for you. The power of CSS, HTML, and JavaScript in a visual canvas. Build website interactions and animations visually. Define your own content structure, and design with real data. Goodbye templates and code — design your store visually. Edit and update site content right on the page. Set up lightning-fast managed hosting in just a few clicks.
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Term Frequency and Inverse Document Frequency (tf-idf) Using Tidy Data Principles
Saved by uncleflo on December 23rd, 2018.
A central question in text mining and natural language processing is how to quantify what a document is about. Can we do this by looking at the words that make up the document? One measure of how important a word may be is its term frequency (tf), how frequently a word occurs in a document. There are words in a document, however, that occur many times but may not be important; in English, these are probably words like “the”, “is”, “of”, and so forth. We might take the approach of adding words like these to a list of stop words and removing them before analysis, but it is possible that some of these words might be more important in some documents than others. A list of stop words is not a sophisticated approach to adjusting term frequency for commonly used words. Another approach is to look at a term’s inverse document frequency (idf), which decreases the weight for commonly used words and increases the weight for words that are not used very much in a collection of documents. This can be combined with term frequency to calculate a term’s tf-idf, the frequency of a term adjusted for how rarely it is used. It is intended to measure how important a word is to a document in a collection (or corpus) of documents. It is a rule-of-thumb or heuristic quantity; while it has proved useful in text mining, search engines, etc., its theoretical foundations are considered less than firm by information theory experts.
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dgrtwo/tidy-text-mining - Github
Saved by uncleflo on December 23rd, 2018.
This is the repo for the book Text Mining with R: A Tidy Approach, by Julia Silge and David Robinson. Please note that this work is written under a Contributor Code of Conduct and released under a CC-BY-NC-SA license. By participating in this project (for example, by submitting a pull request with suggestions or edits) you agree to abide by its terms.
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How can we find the tf-idf value of a word in the corpus?
Saved by uncleflo on December 23rd, 2018.
I am working on text classification using SVM. In a paper (Fuzzy Support vector machine for multi-class text categorization) the author has reduced the features(words) by applying the following criteria: "Eliminate the words that are ICF>log2, Uni<0.2 and TF_IDF<26". My question is how can we find TF_IDF value of a word. TF is a local measure and IDF is a global measure. TF_IDF gives different value for a word in each document. TF-IDF is the acronym for Term Frequency–Inverse Document Frequency. This metric aims at estimating how important is a keyword not only in a particular document, but rather in a whole collection of documents (corpus). Actually, a lot of common words like articles or conjunctions may appear several times in a document but they are not relevant as key-concepts to be indexed or searched. TF (Term Frequency) provides a measure about how frequently a term occurs in a document.
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word2vec - Google Code Archive
Saved by uncleflo on December 23rd, 2018.
This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research. The word2vec tool takes a text corpus as input and produces the word vectors as output. It first constructs a vocabulary from the training text data and then learns vector representation of words. The resulting word vector file can be used as features in many natural language processing and machine learning applications. A simple way to investigate the learned representations is to find the closest words for a user-specified word. The distance tool serves that purpose. For example, if you enter 'france', distance will display the most similar words and their distances to 'france', which should look like:
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tf–idf - Wikipedia
Saved by uncleflo on December 23rd, 2018.
In information retrieval, tf–idf or TFIDF, 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. It is often used as a weighting factor in searches of information retrieval, text mining, and user modeling. The tf–idf value increases proportionally to the number of times a word appears in the document and is offset by the number of documents in the corpus that contain the word, which helps to adjust for the fact that some words appear more frequently in general. Tf–idf is one of the most popular term-weighting schemes today; 83% of text-based recommender systems in digital libraries use tf–idf. Variations of the tf–idf weighting scheme are often used by search engines as a central tool in scoring and ranking a document's relevance given a user query. tf–idf can be successfully used for stop-words filtering in various subject fields, including text summarization and classification. One of the simplest ranking functions is computed by summing the tf–idf for each query term; many more sophisticated ranking functions are variants of this simple model.
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Cookie Consent - The most popular solution to the EU cookie law
Saved by uncleflo on October 23rd, 2018.
Free & open source: You’re free to copy, modify and even sell Cookie Consent. Design your own: Use our configurator to customise colours, layout and text. Country control: Only show the banner in countries where you need it. Cookie Consent is seen over 2 billion times every month. We’re the world’s most popular solution to the EU Cookie Law. Brought to you by Insites. This website was created with love by Insites. We hate the stupid cookie law, and decided that if we had to comply with it, we may as well create a solution that doesn’t suck. Insites helps organisations test and improve their websites.
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UTF-8 all the way through
Saved by uncleflo on May 9th, 2018.
I'm setting up a new server, and want to support UTF-8 fully in my web application. I have tried in the past on existing servers and always seem to end up having to fall back to ISO-8859-1. Where exactly do I need to set the encoding/charsets? I'm aware that I need to configure Apache, MySQL and PHP to do this - is there some standard checklist I can follow, or perhaps troubleshoot where the mismatches occur? This is for a new Linux server, running MySQL 5, PHP 5 and Apache 2.
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How to force word wrap using CSS by Kasper Tidemann
Saved by uncleflo on March 28th, 2018.
On this blog, I have several code examples with a grey background like this: some fancy code. All the code examples are contained within <span> tags. But what if a span tag contains a word – say, a path to a file on a Linux server – that is longer than the width of the paragraph (the line width)? How can you force the text inside the span to word wrap? There’s a simple, very useful CSS trick you can use for this: word-wrap: break-word;.
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Marco Bonzanini - Mining Twitter Data with Python (Part 1: Collecting data)
Saved by uncleflo on February 19th, 2018.
Twitter is a popular social network where users can share short SMS-like messages called tweets. Users share thoughts, links and pictures on Twitter, journalists comment on live events, companies promote products and engage with customers. The list of different ways to use Twitter could be really long, and with 500 millions of tweets per day, there’s a lot of data to analyse and to play with. This is the first in a series of articles dedicated to mining data on Twitter using Python. In this first part, we’ll see different options to collect data from Twitter. Once we have built a data set, in the next episodes we’ll discuss some interesting data applications. Update July 2016: my new book on data mining for Social Media is out! Part of the content in this tutorial has been improved and expanded as part of the book, so please have a look. Chapter 2 about mining Twitter is available as a free sample from the publisher’s web site, and the companion code with many more examples is available on my GitHub
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PHP Fine Diff
Saved by uncleflo on December 28th, 2017.
This page demonstrate the FineDiff class (as in “fine granularity diff”) I wrote – starting from scratch – to generate a lossless (won't eat your line breaks), compact opcodes string listing the sequence of atomic actions (copy/delete/insert) necessary to transform one string into another (thereafter referred as the “From” and “To” string). The “To” string can be rebuilt by running the opcodes string on the “From” string. The FineDiff class allows to specify the granularity, and up to character-level granularity is possible, in order to generate the smallest diff possible (at the potential cost of increased CPU cycles.)
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Comma-separated values
Saved by uncleflo on December 28th, 2017.
In computing, a comma-separated values (CSV) file stores tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by commas. The use of the comma as a field separator is the source of the name for this file format. The CSV file format is not standardized. The basic idea of separating fields with a comma is clear, but that idea gets complicated when the field data may also contain commas or even embedded line-breaks. CSV implementations may not handle such field data, or they may use quotation marks to surround the field. Quotation does not solve everything: some fields may need embedded quotation marks, so a CSV implementation may include escape characters or escape sequences. In addition, the term "CSV" also denotes some closely related delimiter-separated formats that use different field delimiters. These include tab-separated values and space-separated values. A delimiter that is not present in the field data (such as tab) keeps the format parsing simple. These alternate delimiter-separated files are often even given a .csv extension despite the use of a non-comma field separator. This loose terminology can cause problems in data exchange. Many applications that accept CSV files have options to select the delimiter character and the quotation character.
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Free HTML Email Templates
Saved by uncleflo on December 27th, 2017.
Simple HTML email templates for your email marketing campaigns. Let Benchmark Email provide you with expertly crafted HTML email templates! Our templates are completely compatible with Outlook, Gmail, Lotus Notes and other big email clients. Take a look at three simple and convenient templates below – all are guaranteed to help you get started on your email marketing campaigns. Using our templates is easy. Just download each template in ZIP format. Once you've downloaded a template, you can edit it and customize it using your favorite text or HTML editor. The best part? Our templates are absolutely free!
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Infinote Protocol
Saved by uncleflo on June 23rd, 2017.
This site describes the Infinote protocol as currently implemented by libinfinity. It provides real-time collaborative editing of documents with the main focus being on collaborative plain text editing. In the meanwhile there are quite a few solutions out there, but all of them implement a different protocol and thus cannot be used with other tools. Our goal is to provide a flexible yet powerful open framework and clients for various environments that can interoperate with each other.
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Etherpad - Open Source online editor - Realtime Collaborative Editing
Saved by uncleflo on June 23rd, 2017.
Etherpad is a highly customizable Open Source online editor providing collaborative editing in really real-time. Collaborating in really real-time. No more sending your stuff back and forth via email, just set up a pad, share the link and start collaborating! Etherpad allows you to edit documents collaboratively in real-time, much like a live multi-player editor that runs in your browser. Write articles, press releases, to-do lists, etc. together with your friends, fellow students or colleagues, all working on the same document at the same time. All instances provide access to all data through a well-documented API and supports import/export to many major data exchange formats. And if the built-in feature set isn't enough for you, there's tons of plugins that allow you to customize your instance to suit your needs. You don't need to set up a server and install Etherpad in order to use it. Just pick one of publicly available instances that friendly people from everywhere around the world have set up. Alternatively, you can set up your own instance by following our installation guide.
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Operational Transformation library? Ask
Saved by uncleflo on June 23rd, 2017.
I'm looking for a library that would allow me to synchronize text in real-time between multiple users (ala Google Docs). I've stumbled upon Operational Transformation, which seems to fit my needs. Having said that, I understand the gist of OT, but not the math nor implementation of OT. Thus, I was wondering if there was a drag'n'drop Javascript library that would hook into a text area, generate the transforms, then allow me to apply those transformations onto another client? (I've gotten the Etherpad source, but I can't make head or tails out of it. If anyone could point out how to leverage on Etherpad's OT implementation, that'll be great too!)
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Yjs
Saved by uncleflo on June 21st, 2017.
Yjs is a framework for offline-first p2p shared editing on structured data like text, richtext, json, or XML. It is fairly easy to get started, as Yjs hides most of the complexity of concurrent editing. For additional information, demos, and tutorials visit y-js.org.
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JavaScript and Scala Implementations of WOOT
Saved by uncleflo on June 21st, 2017.
Yjs is a framework for offline-first p2p shared editing on structured data like text, richtext, json, or XML. It is fairly easy to get started, as Yjs hides most of the complexity of concurrent editing. For additional information, demos, and tutorials visit y-js.org.
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How to convert to/from DOS format in VIM…
Saved by uncleflo on January 27th, 2017.
It’s very easy, but also easy to forget how to convert to or from a DOS format file in Unix using “vim” (Vi iMproved), the Open Source “vi”. If the file is in DOS format and you want to convert to Unix, use the command:
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Sublime Text
Saved by uncleflo on October 20th, 2016.
Sublime Text is a sophisticated text editor for code, markup and prose.
You'll love the slick user interface, extraordinary features and amazing performance. Use Goto Anything to open files with only a few keystrokes, and instantly jump to symbols, lines or words.
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SVG Basics Tutorials - Scalable Vector Graphics by Hand
Saved by uncleflo on June 13th, 2015.
Welcome to the SVGBasics tutorials. Scalable Vector Graphics (SVG) is a standard from the W3C which is built on top of XML. The SVG standard describes ways that graphics can be drawn for use on the web. I've assembled here some examples that you can freely modify and reuse. The idea is to cover the basics with numerous examples that people can experiment with to get an idea of what SVG can do. The Scalable Vector Graphics (SVG) recommendation comes from the W3C. The recommendation describes how to create vector graphics using a mark up language. Because SVG is based on XML, tools that already know how to interpret XML will be able to interpret SVG. Having this well-established standard as a foundation saves a lot of the work in defining the language. It also means that there are numerous tools around which can check the structure of an SVG document or read it to pull out interesting information.
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performance - Mysql int vs varchar as primary key (InnoDB Storage Engine? - Database Administrators Stack Exchange
Saved by uncleflo on February 22nd, 2015.
I am build a web application (project management system) and I have been wondering about this when it come to performance. I have an Issues table an inside it there are 12 foreign keys linking to various other tables. of those, 8 of them I would need to join to get the title field from the other tables in order for the record to make any sense in a web application but then means doing 8 joins which seems really excessive especially since I am only pulling in 1 field for each of those joins.
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