57 results about "Dynamic text" patented technology

Methods and systems which utilize, in one embodiment, automatic language identification, including automatic language identification for dynamic text processing. In at least certain embodiments, automatic language identification can be applied to spellchecking in real time as the user types.

A virtual keyboard is displayed on a touch screen display surface of a computing device. Partial images of the keyboard are displayed, where a partial image may be one key, referred to as the most probable key that the user will touch, or a group of keys, which may include some less probable or surrounding keys that may be touched. Sensors under or near the display surface detect an outline of the user hands and determines which finger is the fastest moving finger, which is presumed to be the finger used to touch a key. The most probable key is determined based on the fastest moving finger and may be displayed before the finger touches the surface. If the most probable key is not touched, a user profile containing user typing habits may be updated to reflect that a less probable key was touched.

The invention relates to a dynamic text cluster method based on network flow and laminated knowledge base, belonging to information processing and network safety technical field. The inventive method comprises that first assuming the clustered file type is provided with vector character, using TFIDF method to extract and normalize character of single clustered text, using the method that defining meaning distance in the knowledge base to calculate the distance of text and type, adjusting and refreshing keyword and weight of the type of new added file, when present file can not be combined with known types, needs to build new type. And the algorism comprises dynamic character vector extraction, type classification, distance calculation, type combination and new type construction. The invention is characterized in that the cluster process is based on the meaning information provided by the laminated knowledge base but not keyword, the invention can dynamically remove noise data, the similarity is calculated network flow algorism, to confirm optimized match, and the invention can meet real-time refresh cluster of Web text, in particular as non-detect type, without pre-appointing type group.

An invention is disclosed for achieving “image globalization” through dynamic text generation and manipulation by independently translating textual elements within a graphic image into different languages (or other domains of use). This concept can be used in creating multiple text-containing graphic images (each customized for a specific domain of use) from an initial template or master image of any type.

The method, system and computer program product efficiently generates a target word by processing an input character sequence to an electronic device from a user utilizing an abbreviated word format. A dynamic text entry (DTE) logic / utility detects receipt of the input sequence that is provided by the user and, in response to receipt of the input character sequence, DTE logic determines from the input sequence whether there is a matching sequence stored in a particular DTE library accessible to DTE logic. If there is one target word that is mapped to the input sequence, DTE logic appropriately displays the target word instead of continuing to display the input sequence. However, if DTE logic determines that multiple candidate target words are available, DTE logic displays the candidate target words to enable the user to select the target word. If the number of target words exceeds a threshold maximum number, DTE logic enables the user to provide additional letters using the abbreviated word format.

A data processing system including one or more client devices, wherein each client device is connected to a network system and a data center unit. The data center unit includes a network interface unit, a user interface, one or more storage devices, wherein the one or more storage devices comprise one or more databases. Further, the data center unit includes a storage device controller and database manager for controlling the operation of storage devices and databases, a web server for providing web services to clients, a database server for providing database services to the one or more clients and a machine learning artificial intelligence application server for predicting textual complexity of data. The machine learning artificial intelligence application server includes one or more databases for storing data used to refine textual complexity analysis for improved accuracy of textual complexity predictions.

The invention discloses an electronic book system based on dynamic geometry and computer algebraic system. The electronic book system comprises a text module, a dynamic geometrical graphic module, a computer algebraic system, an interactive widget module and a typesetting module, wherein the typesetting module is respectively in electric connection with the text module, the dynamic geometrical graphic module, the computer algebraic system and the interactive widget module; the interactive widget module is respectively in electric connection with the text module, the dynamic geometrical graphic module and the computer algebraic system; and the computer algebraic system is respectively in electric connection with the text module and the dynamic geometrical graphic module. According to the invention, a dynamic interactive book with continuous front and back contents, parameters and action driving can be prepared by inserting the dynamic text, formula, geometric object with constrained relationship and widget (button, input frame, slide rod, and the like) for controlling the parameter conversion and combining with the paging and typesetting of the file. After the book is prepared, the user can read, operate and share on a browser in a cross-platform manner, without using any plug-in and player.

The invention discloses a dynamic topic model-based dynamic text cluster device and method. The device comprises a news acquisition module, a news initial feature extracting module, a dynamic feature converting module and a dynamic cluster module, wherein the news acquisition module is used for acquiring news data in the Internet; the news initial feature extracting module is used for extracting the initial feature of the acquired news data; the dynamic feature converting module is used for carrying out dynamic feature conversion on the extracted initial feature; and the dynamic cluster module is used for carrying out dynamic cluster on a news data set based on the converted feature. With the adoption of the device and the method, the problem of effective cluster of the dynamic text data set is solved so as to combine a dynamic topic model with a dynamic cluster algorithm, and the inherent problems of polysemy, multiple words for one meaning, data sparsity, feature dimension disaster and the like of the text feature based on a term are solved.

A system and method for providing dynamic pay-for-placement advertisements via graphics-enabled email that generates a display of advertisements when the email newsletter is opened so the advertisements displayed are based on rankings at the time the email is opened instead of when the email was generated and transmitted. In one embodiment, a graphical-content email having one or more embedded advertisement image references is provided to one or more email recipients. The advertisement image reference, in one embodiment, may include query string parameters indicating the context of the image reference and / or portion of the image reference (i.e., identifying the image reference as being part of a particular newsletter email), a position of the image reference in the email display, and the like. A URL reference also may be included with each advertisement image reference (.e.g., one URL for each advertisement portion of the image to be retrieved by the advertising image reference).

The invention discloses a national defense science and technology hot word discovery method and system based on big data, and the method comprises: inputting a news dynamic text in a specific time period into a pre-built Chinese national defense science and technology term extraction model based on CRF, and outputting a national defense science and technology hot word candidate set; performing popularity sorting on national defense science and technology terms in the national defense science and technology hot word candidate set through a Newton cold cutting method, and outputting a national defense science and technology hot word set; and inputting the national defense science and technology hot word set into a pre-established national defense science and technology hot word classification model, and outputting national defense science and technology hot word category information. Technologies such as term extraction, hot word sorting and entity classification are comprehensively applied; the hot word discovery method oriented to the national defense science and technology field is proposed for the first time, and the result shows that the method can effectively mine the nationaldefense science and technology hot words appearing in Chinese dynamic news, and helps researchers to track and grasp the latest hot spots and key knowledge clues in the national defense science and technology field in time.

The method, system and computer program product efficiently generates a target word by processing an input character sequence to an electronic device from a user utilizing an abbreviated word format. A dynamic text entry (DTE) logic / utility detects receipt of the input sequence that is provided by the user and, in response to receipt of the input character sequence, DTE logic determines from the input sequence whether there is a matching sequence stored in a particular DTE library accessible to DTE logic. If there is one target word that is mapped to the input sequence, DTE logic appropriately displays the target word instead of continuing to display the input sequence. However, if DTE logic determines that multiple candidate target words are available, DTE logic displays the candidate target words to enable the user to select the target word. If the number of target words exceeds a threshold maximum number, DTE logic enables the user to provide additional letters using the abbreviated word format.