3 results about "E-text" patented technology

A text analysis processing for detecting computer-generated text is provided. In some cases, a text-based chat interaction may be initiated and analyzed to determine whether the text-based chat generated by a communicating entity is computer-generated. The text of the chat session may be analyzed to evaluate punctuation, use of emojis, spacing, grammar, words, phrases, and the like to determine a further likelihood of whether the text is computer-generated. A duration of the chat session may be used as a scoring factor. The various probabilities and scores may be combined to provide a composite score.

1. Name of the product in this design: Braille pen. 2. Purpose of this design: For blind people to scan Braille dots to convert them into speech and to convert Braille text into electronic text during learning. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The application discloses an electronic text desensitization method and device, a computing device and a storage medium. The method comprises the following steps: analyzing an electronic text to obtain a sentence set containing multiple sentences, and word segmentation and word vectors corresponding to the word segmentation of any sentence in the sentence set; wherein the sentence set comprises a target sentence and a replacement candidate sentence; for any sentence in the sentence set, identifying an entity contained in the sentence, determining the word segmentation corresponding to the entity as entity word segmentation, and determining the word vector corresponding to the entity word segmentation as an entity word vector; determining an entity-related word vector corresponding to the entity word vector of any sentence; obtaining a privacy word segmentation corresponding to the target sentence and an entity-related word segmentation corresponding to the target sentence in the replacement candidate sentence according to the entity-related word vector; and performing desensitization replacement processing on the privacy word segmentation of the target sentence by using the entity-related word segmentation in the replacement candidate sentence to obtain a desensitized target sentence.