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 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 system and method for prioritizing contacts is disclosed. The method discloses: receiving a set of requests from a set of contacts to be connected to a recipient; generating a first priority level score for each request based on an acoustical analysis of a contact speech signal within the request; generating a second priority level score for each request based on a keyword analysis of the request; combining the priority level scores for each request into a combined priority level score; prioritizing the requests within the set of requests based on their respective combined priority level scores; and routing to the recipient that request, from the set of requests, having a highest combined priority level score. The system of the present invention includes all means and mediums for implementing the method.

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 discloses a keyword analysis method and a keyword analysis device, which belong to the field of internets. The method includes the steps: receiving keywords selected by a user and effective regions and analysis indexes of the keywords, wherein the analysis indexes of the keywords at least include one of click number, show number, click rate, converse rate, offer and average click consumption; and inquiring corresponding values of the analysis indexes of the keywords in a pre-stored index database according to the keywords selected by the user and the effective regions of the keywords, and showing inquiring results serving as analysis results to the user. The corresponding values of the analysis indexes are showed to the user by taking the keywords as dimensionality, and analysis of the keywords is quantized, so that pertinence of keyword analysis can be improved, a position of the user and quantized difference among the user and other users are defined beneficially, and further more direct and more objective reference opinions can be provided for the user in keyword selection.

In various embodiments, a method for generating from one or more keywords a list of related topics for organic search includes receiving, by a topic tool, an input of one or more keywords for which to generate a list of related topics. The method may further include acquiring, by a crawler, content from a plurality of different web content sources via one or more networks. The method may also include applying, by the topic tool, to the acquired content an ensemble of one or more key phrase extraction algorithms, one or more graph analyses algorithms and one or more natural language processing algorithms to identify a set of semantically relevant topics scored by relevance. The method may also include generating, by the topic tool, from the set of semantically relevant topics, a knowledge graph of related topics for the input of the one or more keywords. The method may further include outputting, by the topic tool based at least partially on the knowledge graph, an enumerated list of topics ranked by at least a relevance score.

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.

Dialog management within a call handling system includes monitoring a dialog between a contact and an operator. A first dialog attribute confidence score is generated based on an acoustical analysis of the dialog, and a second dialog attribute confidence score is generated based on a keyword analysis of the dialog. The first and second dialog attribute scores are combined, and a rule is effected in response to a value of the combined dialog attribute score.

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 provides a method and equipment for detecting the deviant behavior of a database. The method comprises the following steps: collecting SQL (Structured Query Language) sentences corresponding to the normal behavior of the database; carrying out SQL sentence keyword analysis, SQL built-in function analysis, SQL expansion storage process analysis and SQL sentence sensitive region analysis of the SQL sentences; generating a white list database; and adopting a formula V=f1*w1+f2*w2+f3*w3+f4*w4 to obtain an analysis result V of the database, and if the analysis result V is larger than or equal to a preset value, determining the behavior of the database is deviant. The method and the equipment for detecting the deviant behavior of the database, which are provided by the invention, can comprehensively detect the database, avoid omission and improve the efficiency of detecting the deviant behavior of the database.

The invention discloses a method and a device for rapidly generating an intelligent contract based on a block chain. The AI voice technology is introduced into the block chain technology to improve the efficiency of contract generation. Through the integration of three new technologies of AI + IOT + block chain, the difficulties of anti-counterfeit, traceability and automatic execution of electronic contract are realized. Compared with the current mainstream intelligent contract generation, adding the input of background information during the contract generation can effectively prevent the intelligent contract from being forged at the later stage. Natural language algorithm and contract template keyword analysis algorithm are the core technologies to improve the accuracy of electronic contract and the flexibility of applicable scene, which greatly ensure the security and reliability of intelligent contract. Compared with the current mainstream intelligent contract generation mode, theinvention can improve the efficiency of intelligent contract generation and make great improvement in the security of the intelligent contract.

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.

A system and method is provided that collects and analyzes social media data and provides information regarding content that are popular to users or attract attention. The method includes creating a keyword related to the content;collecting social media data including the created keyword; analyzing the collected social media data, and extracting content-related information; associating social media data with the extracted content-related information; storing the content-related information; and providing the stored content-related information.

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 embodiment of the invention provides a news recommendation method. The news recommendation method comprises the steps of monitoring an operation behavior of a user in a news browsing page; when a preset operation behavior is monitored, triggering to start a voice collection device; performing keyword analysis on collected voice; and determining news which the user is currently interested in and recommending the news to the user based on the keyword obtained through analysis. The user when browsing the news can trigger to start the voice collection device through the preset operation behavior, so that the current reading interestingness can be fed back through voice, the current reading interestingness of the user can be analyzed and the corresponding news can be determined and recommended to the user based on the user voice, and more accurate individual recommendation for the user can be carried out; furthermore, the operation is convenient, the reading efficiency is increased, and better experience is brought to the user. In addition, the embodiment of the invention provides a news recommendation device.

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.

A system, a method, and a computer program for identifying and prioritizing a risky computing resource for security evaluation and remediation in a computer network that has a plurality of computing resources, comprising analyzing network-internal domain information to identify the risky computing resource in the computer network, generating a keyword for a cyberattack risk, analyzing open source intelligence domain information using the keyword, analyzing network-external domain information to identify additional risk attributes for the cyberattack risk, determining a ranking weight for the cyberattack risk, prioritizing the risky computing resource with respect to one or more computing resources based on the ranking weight, targeting the risky computing resource for penetration testing in accordance with the prioritization, and evaluating a threat risk of the risky computing resource to the computer network.

This disclosure describes system and method for identifying one or more datasets, such as advertisements, that are contextually related to a subject dataset, such as a web page being reviewed by a user, based on analyses of unique semantic vectors, such as trainable semantic vectors (TSV), that represent the web page and the advertisements, and semantic representations including information of representative keywords of the advertisements and the web page.

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.

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.

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.