140 results about "Keyword analysis" patented technology

A phishing filter employs a plurality of heuristics or rules (in one embodiment, 12 rules) to detect and filter phishing attempts solicited by electronic mail. Generally, the rules fall within the following categories: (1) identification and analysis of the login URL (i.e., the “actual” URL) in the email, (2) analysis of the email headers, (3) analysis across URLs and images in the email other than the login URL, and (4) determining if the URL is accessible. The phishing filter does not need to be trained, does not rely on black or white lists and does not perform keyword analysis. The filter may be implemented as an alternative or supplemental to prior art spam detection filters.

A technique is disclosed for generating markup information to be displayed on a client computer system. The client system includes memory configured to store at least one update file which comprises keyword information relating to keywords suitable for markup. In one implementation, the update file is generated at a remote server system and downloaded to the client system. When a new document (e.g. a web page) is displayed on the client system to an end user, selected context associated from the document is analyzed for selected keywords. In a specific implementation, the selected keyword information is provided by an entity other than the end user. Using the selected keyword information, specific context in the document is selected to be marked up. According to a specific embodiment, the selection of the document context to be marked up may be performed at the client system. Markup operations are then implemented at the client system on at least a portion of the selected document context, thereby resulting in marked up document context which has a visual appearance that is different than the appearance of the initial parsed context. Additionally, a pop-up advertisement may be automatically displayed on the client system based upon the identified context in the document. When the user clicks on a portion of the marked up document context, the user may be redirected to a target URL which was not included as part of the initial parsed document context. Alternatively, a pop-up window or layer which includes a plurality of different links may be displayed to the user.

A keyword analysis device obtains word vectors represented by the documents by analyzing keywords contained in each of documents input in a designated period. A topic cluster extraction device extracts topic clusters belonging to the same topic from a plurality of documents. A keyword extraction device extracts, as a characteristic keyword group, a predetermined number of keywords from the topic cluster in descending order of appearance frequency. A topic structurization determination device determines whether the topic can be structurized, by segmenting the topic cluster into subtopic clusters with reference to the number of documents, the variance of dates contained in the documents, or the C-value of keyword contained in the documents, as a determination criterion. And a keyword presentation device presents the characteristic keyword group in the subtopic cluster upon arranging the keyword group on the basis of the date information.

A keyword outputting apparatus includes a document receiving unit that receives documents in a specific time period. A keywords analyzing unit analyzes the documents for possible keywords. A keyword extracting unit calculates a score for each keyword and extracts the keywords in order of the score. A keyword-structure generating unit generates a keyword structure by classifying and stratifying each extracted keyword. A keyword outputting unit outputs the keywords in descending order of the score based on the keyword structure.

The invention is applied to the field of computer application and provides a method and device for updating contact information of a mobile terminal address book. The method comprises the following steps of: when the sending number of a received short message is a strange number, extracting the content of the short message; acquiring keywords of the content of the short message, carrying out weighting processing on the acquired keywords, and calculating the sum of weight of the acquired keywords; when the sum of weight is greater than or equal to a preset value, extracting name information of the short message sender from the content of the short message; and updating or creating information of a corresponding contact according to the name information and the strange number sending the short message. According to the method and the device, the content of the short message sent by the strange number is extracted, the content of the short message is subjected to keyword analysis, and when the short message is determined to be the short message sent by an address book contact for updating, the phone number of the corresponding contact can be updated, so that a user has no need of manually updating the address book, the use is convenient, and the user experience is good.

A retrieval keyword analyzing system extracts an access sequence indicating a continuous access by a same requester based on a Web access log which relates first identification data indicating an access requester to second identification data indicating contents to be accessed. The Web access log relates second identification data indicating a retrieval system to a retrieval keyword input to the retrieval system by the requester. The analyzing system extracts the retrieval keyword from the Web access log, calculates a qualitative evaluation value of the access sequence and creates relation data between the retrieval keyword and the qualitative evaluation value.

The invention discloses a Wechat information classification pushing method and system. The method comprises the steps that a user subscribes a Wechat official account and enters an official account page; interactive behavior data of the user on the official account page is obtained; information pushing demands of the user are analyzed according to the interactive behavior data; information is pushed to the user according to the information pushing demands. According to the Wechat information classification pushing method and system, by means of analysis on the interactive behavior data of the user, keywords of interest points concerned by the user are obtained, the information demands of the user are analyzed according to the keywords, and therefore information meeting the user demands is pushed to the user. The Wechat information classification pushing method and system can be applied to the technical fields of targeted advertising delivery and the like and can bring extremely good user experience.

The invention discloses a user browsing behavior based personalized recommendation method and apparatus. The recommendation method comprises: obtaining browsing history of a user; analyzing the interests and demands of the user according to each keyword in the browsing behavior history of the user, and realizing dynamic update of user interest and demand through a self-detection function of a keyword counter; and creating a list of recommendation content based on user browsing behaviors, and pushing the recommendation content to the user in a non-disturbing manner through an email. Therefore, the personalized content can be recommended according to the user browsing behaviors.

The invention discloses a user behavior counting method for a power scheduling automatic system based on a log. The user behavior counting method comprises the following steps: triggering a synchronous procedure at a special moment or a time interval, visiting data in a database list of the power scheduling automatic system according to a time field, storing the data into a local log analysis table, connecting the local log analysis table to a work station of the power scheduling automatic system through a remote logging interface, comparing and analyzing a file edition and content according to a work station address, a user name, a password, a synchronous interval and the like to form an operation log; trimming and extracting the user operation log, returning the file operation log to the server through a ftp protocol, storing the file operation log to a local log analysis table, adopting a Lucene engine to establish full-text index for the database and the file log, performing keyword analysis through a Chinese word segmentation algorithm, and providing user operation behavior counting and application using condition analysis. The user behavior counting method has the advantages of realizing collecting, extracting, recording and analyzing of user operation log for electric scheduling automation.

A method for modifying knowledge documents, includes: updating an index based on keyword weights, detecting a page that has not been indexed; parsing the page into structures; associating the structures with dates contained thereof; separating the dates on the page into one or more past and future dates; determining whether the page has undergone changes following the separating of dates; wherein in the event the page has not undergone changes the one or more future dates are checked to determine if one or more of the future dates have become additional past dates, and flagging the structures that contain the one or more additional past dates; and wherein during a keyword analysis of the page the structures associated with the one or more past dates and additional past dates are omitted when determining the keyword weights associated with the page.

The invention relates to the field of artificial intelligence, in particular to the field of natural language processing, and discloses a resume matching method and device based on artificial intelligence, equipment and a storage medium, which are used for analyzing the matching degree of a resume and a preset position according to a preset keyword and generating a position matching sequence according to the matching degree, so that the resume matching efficiency is improved. The method comprises the steps of: obtaining a target resume of a target talent; extracting resume data from the targetresume; cleaning the resume data according to a text classification algorithm of natural language processing NLP to obtain a target text; calling a preset model to analyze the target text to generatea prediction label; matching the prediction label with a preset keyword to obtain a plurality of matched preset positions, and determining the matching degree of each preset position; and sorting theplurality of preset positions according to the matching degree to obtain a first position matching sequence.

The present inventive subject matter relates to prior art analysis. Various embodiments of the present inventive subject matter include systems and methods for analyzing prior art in a patent portfolio and annuity management system. In an example embodiment, a method comprises maintaining a patent matter database and a database of prior art documents including data about the prior art documents such as the priority or publication dates of the documents. A keyword analysis is performed on a given patent matter and associated prior art documents to identify keywords occurring uniquely in the first patent matter as potential claim elements differentiating the patent matter over the disclosures contained in the one or more prior art documents.

The invention discloses a network advertisement accurate putting method based on key words. The method comprises the following steps: step one, determining key word information through a key word analysis, wherein the purpose of the key word analysis is to obtain necessary key word information made by a system for conducting a key word pricing strategy; step two, determining an optimization model, i.e., after the key word information is determined, determining the optimization model through selection of specific key words and a search engine; and step three, particle swarm algorithm parameter determination and calculation optimization, i.e., after the optimization model is determined, substituting the optimization model into a particle swarm algorithm, determining a fitness calculation function and a punishment function, employing different fitness functions according to different pricing models, calculating the fitness value of each particle, outputting global optimal fitness gbest, i.e., the lowest cost, and outputting a key word price reaching the fitness. The method provided by the invention is quite high in reliability, good in real-time performance, quite low in optimization calculation difficulty and quite good in optimization effect.

The present invention provides a keyword weight calculation method based on a position of a word. The method comprises the following steps of: pre-processing a document: performing pre-processing on the provided document to obtain text information; extracting a keyword: extracting the keyword from the text information after preforming preprocessing on the document; acquiring an influence factor: acquiring a weight factor of the extracted keyword; acquiring a basic weight in one aspect; identifying words in a first sentence of an abstract and an article chapter in the other aspect; performing weighted calculation: regarding the acquired influence factor as a weight calculating factor to perform final weight calculation; and outputting a keyword weight table: outputting the final keyword weight table. According to the keyword weight calculation method based on the position of the word provided by the present invention, a weight parameter of the word can be calculated accurately, so that the keyword analysis is facilitated and the understanding and memorization of readers to the content of articles are facilitated.

The invention belongs to the field of mobile terminal application, and particularly relates to an automatic evaluation system based on a mobile terminal. The automatic evaluation system comprises a short message monitoring module, an evaluation page display module and a sending module, wherein the short message monitoring module is used for monitoring short messages entering the mobile terminal and analyzing the short messages according to preset keywords for analyzing whether the short messages are evaluation suggestion short messages or not; the evaluation page display module is used for displaying an evaluation page on a UI (user interface) of the mobile terminal after the short message monitoring module monitors the evaluation suggestion short message so that the user of the mobile terminal can select the evaluation information; the sending module obtains the evaluation information selected by the user of the mobile terminal, and replies the evaluation suggestion short message received by the mobile terminal in a short message form. The automatic evaluation system has the advantages that the more humanized design is provided for the user of the mobile terminal, and a simple, convenient and fast short message return visit reply mechanism is provided for the user, so that the reply of the evaluation suggestion short message is simpler.