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Font embedding is a controversial practice because it allows copyrighted fonts to be freely distributed. The controversy can be mitigated by only embedding the characters required to view the document (subsetting). This reduces file size but prohibits adding previously unused characters to the document.
Object Linking and Embedding (OLE) is a proprietary technology developed by Microsoft that allows embedding and linking to documents and other objects. For developers, it brought OLE Control Extension (OCX), a way to develop and use custom user interface elements.
In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]
Open your document in Word, and "save as" an HTML file. Open the HTML file in a text editor and copy the HTML source code to the clipboard. Paste the HTML source into the large text box labeled "HTML markup:" on the html to wiki page. Click the blue Convert button at the bottom of the page.
When an RTF file containing mostly Latin characters without diacritics is viewed as a plain text file, the underlying ASCII text is readable, provided that the author has kept formatting concise. When RTF was released, most word processors used binary file formats; Microsoft Word, for example, used the .DOC file format.
- Your computer's file manager will open. Find and select the file or image you'd like to attach. Click Open. The file or image will be attached below the body of the email. If you'd like to insert an image directly into the body of an email, check out the steps in the "Insert images into an email" section of this article.
The space of documents is then scanned using HDBSCAN, [20] and clusters of similar documents are found. Next, the centroid of documents identified in a cluster is considered to be that cluster's topic vector. Finally, top2vec searches the semantic space for word embeddings located near to the topic vector to ascertain the 'meaning' of the topic ...
A separate invisible hot area interface allows for swapping skins or labels within the linked hot areas without repetitive embedding of links in the various skin elements. Text hyperlink. Hyperlink is embedded into a word or a phrase and makes this text clickable. Image hyperlink. Hyperlink is embedded into an image and makes this image clickable.
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