node.js interface to the Google word2vec tool
Wrap words to a specified length.
Wrap words to a specified length.
Word Processing Document library
Check if a character is a word character
TypeScript definitions for pluralize
Pluralize a word
Auto update relations
Platform float word order.
Highlight a portion of text in a string
Word and character count feature for CKEditor 5.
Voice/Wake-word detection library for React Native
TUF metadata models
Generate word clouds in JavaScript.
Transforms css values and at-rule params into the tree
Return an unsigned 32-bit integer corresponding to the more significant 32 bits of a double-precision floating-point number.
High word mask for the sign bit of a double-precision floating-point number.
High word mask for excluding the sign bit of a double-precision floating-point number.
Node.js package to read Word .doc files
High word mask for the exponent of a double-precision floating-point number.
PostCSS plugin to replace overflow-wrap with word-wrap or optionally retain both declarations.
Split a double-precision floating-point number into a higher order word and a lower order word.
Set the more significant 32 bits of a double-precision floating-point number.
Import from Word feature for CKEditor 5.
Filter for offensive words in your AR models.
Rails plugin that uses George Carlin's list of seven dirty words (aka swear words, aka cuss words) to check for decency on ActiveRecord model attributes.
Rails plugin that uses George Carlin's list of seven dirty words (aka swear words, aka cuss words) to check for decency on ActiveRecord model attributes.
Rails plugin that uses George Carlin's list of seven dirty words (aka swear words, aka cuss words) to check for decency on ActiveRecord model attributes.
isodoc converts documents in the IsoDoc document model into Microsoft Word and HTML. This gem is in active development.
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.
A Rails engine to answer oEmbed requests for application media asset models. In other words, this gem allows your application, after configuring the gem and the relevant models, to act as an oEmbed Provider by providing a controller that returns JSON or XML for a given oEmbed consumer request for the specified media asset. This gem does not offer oEmbed consumer functionality. (Rails 2.3.5 only for now)
A fork that can be used as a gem with Bundler as the model Task has been changed to Task_Item to remove a reserved word namespace issue in Rails. There is also a corresponding bf4-bcms_news. You'll likely want to require active_support and cms/init in your rails initializer.
WORK IN PROGRESS A 2D and 3D figure modeler. Or, in other words: my own Blender. It's a fun, chill and cozy project thah I enjoy doing, and an awesome way to learn while playing on my computer!
Our product is a full text processing pipeline from data preparation to extracting the most relevant information andanalysis utilizing precise, focused AI that has built-in human understanding. Text Analytics provides foundationallinguistic analysis for identifying languages and relating words. The result is enriched and normalized text forhigh-speed search and processing without translation.Text Analytics extracts events and entities — people, organizations, and places — from unstructured text and adds thestructure of associating those entities into events that deliver only the necessary information for near real-timedecision making. Accompanying tools shorten the process of training AI models to recognize domain-specific events.The product delivers a multitude of ways to sharpen and expand search results. Semantic similarity expands searchbeyond keywords to words with the same meaning, even in other languages. Sentiment analysis and topic extraction helpfilter results to what’s relevant.
Docsmith adds snapshot-based versioning to any ActiveRecord model with zero system dependencies. • Full content snapshots (HTML, Markdown, JSON) for instant rollbacks • Format-aware diff engine: word-level diffs for Markdown, tag-atomic diffs for HTML • Document-level and range-anchored comments with threading and version migration • Per-class configuration, debounced auto-save, lifecycle events, and a clean API Perfect for wikis, CMS pages, API specs, legal documents, or any content that needs an audit trail and inline collaboration.
ALPHA Alert -- just uploaded initial release. Linux inotify is a means to receive events describing file system activity (create, modify, delete, close, etc). Sinotify was derived from aredridel's package (http://raa.ruby-lang.org/project/ruby-inotify/), with the addition of Paul Boon's tweak for making the event_check thread more polite (see http://www.mindbucket.com/2009/02/24/ruby-daemons-verifying-good-behavior/) In sinotify, the classes Sinotify::PrimNotifier and Sinotify::PrimEvent provide a low level wrapper to inotify, with the ability to establish 'watches' and then listen for inotify events using one of inotify's synchronous event loops, and providing access to the events' masks (see 'man inotify' for details). Sinotify::PrimEvent class adds a little semantic sugar to the event in to the form of 'etypes', which are just ruby symbols that describe the event mask. If the event has a raw mask of (DELETE_SELF & IS_DIR), then the etypes array would be [:delete_self, :is_dir]. In addition to the 'straight' wrapper in inotify, sinotify provides an asynchronous implementation of the 'observer pattern' for notification. In other words, Sinotify::Notifier listens in the background for inotify events, adapting them into instances of Sinotify::Event as they come in and immediately placing them in a concurrent queue, from which they are 'announced' to 'subscribers' of the event. [Sinotify uses the 'cosell' implementation of the Announcements event notification framework, hence the terminology 'subscribe' and 'announce' rather then 'listen' and 'trigger' used in the standard event observer pattern. See the 'cosell' package on github for details.] A variety of 'knobs' are provided for controlling the behavior of the notifier: whether a watch should apply to a single directory or should recurse into subdirectores, how fast it should broadcast queued events, etc (see Sinotify::Notifier, and the example in the synopsis section below). An event 'spy' can also be setup to log all Sinotify::PrimEvents and Sinotify::Events. Sinotify::Event simplifies inotify's muddled event model, sending events only for those files/directories that have changed. That's not to say you can't setup a notifier that recurses into subdirectories, just that any individual event will apply to a single file, and not to its children. Also, event types are identified using words (in the form of ruby :symbols) instead of inotify's event masks. See Sinotify::Event for more explanation. The README for inotify: http://www.kernel.org/pub/linux/kernel/people/rml/inotify/README Selected quotes from the README for inotify: * "Rumor is that the 'd' in 'dnotify' does not stand for 'directory' but for 'suck.'" * "The 'i' in inotify does not stand for 'suck' but for 'inode' -- the logical choice since inotify is inode-based." (The 's' in 'sinotify' does in fact stand for 'suck.')
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