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Tag cloud of a mailing list [1] A tag cloud with terms related to Web 2.0. A tag cloud (also known as a word cloud or weighted list in visual design) is a visual representation of text data which is often used to depict keyword metadata on websites, or to visualize free form text. Tags are usually single words, and the importance of each tag is ...
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This is an accepted version of this page This is the latest accepted revision, reviewed on 7 January 2025. Word game 2021 video game Wordle Developer(s) Josh Wardle Publisher(s) Josh Wardle (2021–2022) The New York Times Games (since 2022) Platform(s) Browser, Mobile app Release October 2021 Genre(s) Word game Mode(s) Single-player Wordle is a web-based word game created and developed by ...
In September 2024, Robyn Speer, the author of wordfreq, an open source database that calculated word frequencies based on text from the Internet, announced that she had stopped updating the data for several reasons: high costs for obtaining data from Reddit and Twitter, excessive focus on generative AI compared to other methods in the natural ...
Voyant "was conceived to enhance reading through lightweight text analytics such as word frequency lists, frequency distribution plots, and KWIC displays." [3] Its interface is composed of panels which perform these varied analytical tasks. These panels can also be embedded in external web texts (e.g. a web article could include a Voyant panel ...
Anyword is a technology company that offers an artificial intelligence platform, using natural language processing to generate and optimize marketing text for websites, social media, email, and ads. [ 1 ] [ 2 ] [ 3 ] The company also offers a complete managed service to publishers and brands to help them increase their revenue through social ads.
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The bag-of-words model (BoW) is a model of text which uses a representation of text that is based on an unordered collection (a "bag") of words. It is used in natural language processing and information retrieval (IR). It disregards word order (and thus most of syntax or grammar) but captures multiplicity.