95 results about "Key terms" patented technology

The present invention provides methods and systems for automated mapping of advertisements to web pages. It provides the ability to provide target advertising and it provides the ability to sell key terms related to a particular advertisement. The invention also provides the ability to suggest key terms to potential purchasers based upon a content of the advertisement or based upon some other related information provided by the purchaser. The present invention also provides the ability to map the advertisements based on categories of semantically unrelated words and phrases. The method for mapping the advertisement to the web page includes analyzing the web page to determine its content. The content is then compared to a list of key terms. If the comparison results in a match and the match includes a key term, which has been purchased by an advertiser, that advertiser's advertisement may be mapped to the web page.

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.

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 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.

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.

A computer-implemented method of automatically generating an electronic reminder is provided. The method includes identifying, using term-recognition circuitry, at least one key term within an electronic message received with an electronic communications device. The method further includes generating at least one reminder based upon the at least one key term. One or more reminders are, according to the method, electronically conveyed to a user at a time later than when the message was received.

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.

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.