96 results about "Key terms" patented technology

A method and apparatus is provided for extracting key terms from a data set, the method includes identifying a first set of one or more word groups of one or more word that occur more than once in the data set, and removing from this first set a second set of word groups that are sub-strings of longer word groups in the first set. The remaining word groups are key terms. Each word group is weighted according to its frequency of occurrence within the data set. The weighting of any word group may be increased by the frequency of any sub-string of words occurring in the second set and then dividing each weighting by the number of words in the word group. This weighting process operates to determine the order of occurrence of the word groups. Prefixes and suffixes are also removed from each word in the data set. This produces a neutral form of each word so that the weighting values are prefix and suffix independent.

A classifier may include logic to parse incoming content and to compare a key term in the content to stored content related to multiple prior messages, where the stored content is classified with respect to one or more categories. The logic may produce a score for the content based on the comparing, relate the score to one of the one or more categories, and produce a result based on the comparing, producing, or relating.

A method and system implementing a process for suggesting search queries on an electronic device is provided. The process involves displaying terms related to content accessed by a user for selection by the user, obtaining one or more key terms related to a user-selected term, and displaying the one or more key terms to the user as query suggestions corresponding to the selected term. Obtaining one or more key terms involves obtaining one or more key terms related to the selected term, based on local content information and / or external content information.

A method for extracting key terms and associated key terms for use in text mining is provided. The method includes receiving unstructured text documents, such as emails over a customer service system. Term candidates are extracted based on identifying consecutive word strings satisfying a context independency threshold. Term candidates are weighted using mutual information to generate a list of weighted terms. The weighted terms are then recounted. Terms are associated based on Chi-square values. Associated terms can then be used for information retrieval. A user interface can be personalized with individual user profiles.

In one aspect, the present disclosure relates to a method, in a computer network, for generating social index scores associated with key terms within web-based social network sites. Generally, the method comprises the steps of receiving an input of the key terms from a user, generating search queries from the key terms, providing the generated search queries to the web-based social network sites, capturing search results received from the web-based social network sites in response to the provided search queries, generating, from the captured search results, the social index scores using a processing algorithm, storing the generated social index scores in at least one database, and, providing at least one representation of the generated social index scores to the user in one or more of numerical, visual, and printed form.

Technologies are presented for providing a suggestion list presenting options for posting information related to viewed content on a communication network. In some examples, a user may desire to contribute to posted content by adding comments and other relevant information. A system may identify one or more key terms included in the viewed content, and may compare the key terms with content, such as files, emails, websites, images and media content, on computing devices and web browser histories associated with the user to identify information that may be related to the viewed content. If the system identifies information related to the key terms of the viewed content, the system may present the identified information associated with key terms to the user, and may enable selection from a posting suggestion list for automatically posting.

A method and system are provided for information searching based on user interest awareness. Information that represents user interest is obtained. One or more key terms are obtained from the user interest information. Then, a given query is enhanced based on one or more of the key terms for generating an enhanced query for searching.

The present disclosure is directed toward systems and methods for utilizing semantic information in association with a search query. For example, one or more embodiments described herein identify key terms within a search query and utilize semantic information associated with the identified key terms to provide suggested replacement terms. A user can select one or more suggested replacement terms to broaden or refine a search query so as to add more meaning and specificity to the search query. Furthermore, one or more embodiments provide unique and interactive user interfaces to allow users to efficiently refine and improve search queries when using mobile devices with smaller or more limited display and input capabilities.

Techniques for classifying electronic text messages include creating a hierarchical list of message categories, composing databases of key terms and sample phrases for each of such categories, and, based on a number and features of the key terms detected in an analyzed text message, determining if the text message is associated with at least one message category of interest. Variants of the key terms or can be produced using fuzzy text objects generation algorithms. Weight factors for the key terms and similarity scores of a text message compared to previously identified sample messages for a particular message category are calculated based on properties of the key terms detected in the text message, such as a frequency of use, location, or appearance in the text message, a number of words in the respective key terms.

The Invention is a method and apparatus for automatic retrieval, organization, correlation and presentation of text, image, audio, or video data in a sequential manner. A user searches a database available on a computer network using a text search engine to locate a text document. The text document is automatically read and parsed to identify text portions and key phrases. The key phrases are used to automatically search a multimedia file database available on the computer network using a multimedia search engine, such as an image search engine. Multimedia documents containing multimedia files are retrieved. Text in the multimedia documents is compared to the key terms and to the query terms and the multimedia documents are ranked by relevance using a variety of techniques including ranking, indexing, statistical analysis and natural language processing. Each text portion in the text document is stored in association with the most relevant multimedia file for that text portion. The resulting correlated information is displayed to the user in a sequence of text, audio, image or video data.

Hyperlinks within an application program interface enable selective, non-intrusive, recall of help functions, such as definitions of critical terms located within a textual or graphical interface panel. Elements of a user interface for an application program are predefined as help functions by the programmer or developer. These predefined help functions are then hyperlinked to the specified predefined element. When a user traverses the interface, highlighted elements corresponding to the predefined help functions may be selected by a mouse or mouse-type function. Upon selection of a highlighted hyperlinked element, a help window appears providing definitions, functional instructions, etc.

A process includes creating a medical record to document a meeting between a patient and a medical professional. A database is created containing a number of key terms related to one or more of the following: ICD-10 billing codes; medical conditions; treatment; or diagnoses. The medical professional asks the patient a question. The question is converted into text. A number of key text terms are identified from the text by determining which words from the text match key terms from the database. The medical record is updated based on the key text terms. The medical professional then reviews the medical record and repeats the prior steps as necessary to complete the medical record.

The invention discloses a method and device for automatic detection of microblog hot topics, relating to the technical field of internet. According to the invention, key words are extracted from a to-be-detected microblog text, then key terms are acquired, next, the key terms are clustered, so that candidate key word clusters are obtained; finally, the concern degree of the topic corresponding to each candidate key word cluster is computed, and the hot topics are selected according to the concern degrees. Through adoption of the method and device, hot topic detection becomes simple and the hot topics can be detected effectively.

A method and system implementing a process for suggesting search queries on an electronic device is provided. The process involves displaying terms related to content accessed by a user for selection by the user, obtaining one or more key terms related to a user-selected term, and displaying the one or more key terms to the user as query suggestions corresponding to the selected term. Obtaining one or more key terms involves obtaining one or more key terms related to the selected term, based on local content information and / or external content information.

The invention relates to a method for launching an application in a communication device, comprising the steps of detecting, in the communication device, one or more terms during communication between at least two parts wherein at least one of the parts is a person, comparing the terms with stored terms in a database, identifying one or more key terms depending on the comparison, determining a launch criteria based on the identified key terms, and launching at least one application, based on the launch criteria, in the communication device.

Knowledge automation techniques may include selecting a knowledge element from a knowledge corpus of an enterprise for extraction of n-grams, and deriving a term vector comprising terms in the knowledge element. Based at least on a frequency of occurrence of each term in the knowledge element, key terms are identified in the term vector. Thereafter, the identified key terms are used to extract one or more n-grams from the knowledge element. Each of the extracted n-grams is scored as a function of at least a frequency of occurrence of each of the n-grams across the knowledge corpus of the enterprise, and based on the scoring, one or more of the n-grams is added to a collective term and phrase index.

The invention discloses a device and method used for mining microblog hot topics. The method comprises the following steps of: acquiring microblog information through an open interface; performing segmentation on acquired microblog content, and extracting hot key terms; performing statistics on microblog number related to the hot key terms, and performing weighted calculation according to the microblog number and the microblog parameter of a corresponding microblog to obtain hot values of the hot key terms; and sorting the hot values of the hot key terms to obtain the ranking of the microblog hot topics. The method also comprises the following steps of acquiring the microblog content related to every microblog hot topic in the ranking of the microblog hot topics after the ranking of the microblog hot topics is obtained; and displaying the microblog content related to the corresponding microblog hot topic according to a user request to a user or actively displaying the microblog content related to the corresponding microblog hot topic to the user. By means of the technical scheme disclosed by the invention, the microblog hot topics can be accurately judged, so that objective facts of Internet public opinions can be further reflected by mining results.

Techniques to transform regular expressions are described. An apparatus may comprise a processor circuit and a key terms identifying module operative on the processor circuit to generate a set of one or more regular expression key terms from enabled features of a regular expression based on a set of configuration parameters, and filter one or more electronic messages using the set of regular expression key terms. Other embodiments are described and claimed.

The invention provides a health monitoring method and a health monitoring system, wherein the method includes the following steps: a mobile terminal sends a browsing request, a search request or a health report request to a server; when receiving the browsing request of the mobile terminal, the server sends a query instruction to a database according to the browsing request; when receiving the search request of the mobile terminal, the server sends a search instruction to the database according to the search request; when receiving the health report request, the server utilizes a naive Bayes algorithm to calculate the most relevant disease of a key term of the health report request according to the key term, and requests the information of the most relevant disease from the database; according to the received instruction, the database utilizes a web crawler to obtain data related to the instruction from the Internet; the server sends the data returned by the database to the mobile terminal according to a standard format. The health monitoring method and the health monitoring system which are provided by the invention provide query and health report functions, so users can conveniently query information at any time.

Key terms for similar passages from a large corpus are identified and used to enhance searching and browsing the corpus. The corpus contains multiple documents such as the text of books. Browsing by concept is supported by identifying a set of similar passages or quotations in documents stored in the corpus and assigning key terms to passages which links conceptually related passages together. The context of each passage instance is identified and can include, for example, the text surrounding the passage. The contexts of all similar passage instances are analyzed in order to identify key terms for the similar passage. The related key terms are analyzed to identify relationships among the key terms from different similar passage sets. The key terms can be used as a basis for navigating the documents in the corpus. The key terms enable browsing the documents in the corpus by concepts referenced in the documents.

An improved solution for extracting and identifying key terms in content is provided. In the solution, one or more documents can be obtained and one or more candidate terms can be obtained from the content of each document. Subsequently, one or more exclusion conditions can be used to filter the candidate terms thereby generating a set of key terms. In particular, all common terms and / or all near duplicate candidate terms can be excluded from the set of key terms. The set of key terms can be used in translating the content, generating a glossary / index for the content, detecting and / or correcting incorrect terms and usages of terms in the content, building a terminology repository, and / or the like. In one embodiment, the key term extraction is performed to facilitate the translation of product documentation into a second language in order to release the product in one or more nations. In this case, candidate terms that have already been translated into the second language can also be excluded from the key terms.

The invention provides a program text generation method and system. The method includes the following steps: collecting program data, forming program material and processing the program material to obtain a feature matrix; performing text semantic analysis of the program data to obtain a potential theme of the program data, presenting the text of the program data as word vectors, and generating a synonym table corresponding to the word vectors; searching in the synonym table according to the input statement or terms, forming a query phrase, and acquiring a plurality of technical programs related to the query phrase according to the potential theme and the query phrase; selecting keywords from the highly relevant technical program, using the feature matrix to calculate the keywords most relevant to the query phrase, and generating key terms; filtering and combining the key terms, generating a technical program description text, inputting the technical program description text to a preset program text generation model, generating and outputting a technical program reference text through the program text generation model. The method and system can automatically generate the technical program reference text.

A system and method for providing an annotation summary for key terms in an ebook. An ebook includes pre-selected terms embedded with hyperlinks directing to one or more articles contained by one or more external information sources. Raw information from the one or more articles can be accessed and mapped to respective sections of a wireframe based on the field identifications attached to different segments of the raw information, thereby resulting in an annotation GUI. An annotation summary GUI that encompasses an aggregation of visual objects corresponding to the annotated terms in a book chapter can be presented in response to a user request. A user can select a visual object from the annotation summary GUI to open an annotation GUI for the corresponding term.

In a document processing system and a document processing method, the document processing method includes the steps of: obtaining a document and dividing the document into a plurality of terms and giving a syntactic index to each of the terms; dividing the document into a plurality of sentences; selecting a key syntactic index from the syntactic indexes, and transforming each of the sentences into a preliminary key terms sequence which includes a preliminary key term corresponding to the key syntactic indexes according to the key syntactic indexes; selectively expanding the preliminary key term of a representative sentence of the document into an advanced key term; and determining at least one core candidate sentence among the sentences to generate a core abstract of the document according to the preliminary key terms and the advanced key term.

Techniques to transform regular expressions are described. An apparatus may comprise a processor circuit and a key terms identifying module operative on the processor circuit to generate a set of one or more regular expression key terms from enabled features of a regular expression based on a set of configuration parameters, and filter one or more electronic messages using the set of regular expression key terms. Other embodiments are described and claimed.

A method for extracting key terms and associated key terms for use in text mining is provided. The method includes receiving unstructured text documents, such as emails over a customer service system. Term candidates are extracted based on identifying consecutive word strings satisfying a context independency threshold. Term candidates are weighted using mutual information to generate a list of weighted terms. The weighted terms are then recounted. Terms are associated based on Chi-square values. Associated terms can then be used for information retrieval. A user interface can be personalized with individual user profiles.

A system, method and a computer readable medium for providing virtual learning of academic topic unrelated to languages in a non-native language of a student. The system includes an input device, which receives user input, a datastore, which stores the academic topic. At least a portion of the academic topic is stored in both native and non-native languages. The system further includes a processor, which obtains the academic topic based on the user input and an output device, which outputs the academic topic provided by the processor to a user. The academic topic is obtained by the processor with sheltered instruction in the non-native language. Upon a user request, the continuous providing of the academic topic is paused and at least one key term of the academic topic is provided in the native language.

In one exemplary embodiment, a system includes a social media tag-cloud generator. The social media tag-cloud generator obtains a user's social media feed and generates a topic tag cloud. The topic tag cloud includes a weighted key term representing a topic that occurs in the user's social media feed. A media-content source module obtains a first metadata about a first media-content episode. The media-content source module obtains a second metadata about a second media-content episode. The first metadata includes information to identify the first media content episode and to locate the first media content episode in a computer network. The second metadata includes information to identify the second media content episode and to locate the second media content episode in the computer network. A media-content scoring module determines a first score for the first media-content episode. The first score includes a first value judgment based on the weighted key term.