238 results about "Text database" patented technology

A method and apparatus for providing an interactive mapping and panoramic imaging application for utilization by a computer user is provided. A plurality of panoramic images are stored on a panoramic database, each panoramic image corresponding to a geographical location. A panoramic image is displayed on a screen and is navigable in response to input by the user. The panoramic image has embedded hotspots corresponding to selected panoramic images of geographically adjacent locations. Also displayed on the screen, simultaneously with the panoramic image, is a map image corresponding with the panoramic image. The map image is stored on a map database, and the map is navigable in response to input by the user. The map has embedded hotspots corresponding to the plurality of panoramic images. Also displayed on the screen, simultaneously with the panoramic image and the map image, is a text panel displaying textual information corresponding to the displayed panoramic image. The text panel is capable of receiving textual input from the user for activating a search of a text database having a plurality of text data corresponding to the plurality of panoramic images. The displayed panoramic image, the displayed map image and the displayed textual information are updated in response to the user activating a hotspot, such that the displayed panoramic image, the displayed map image and the displayed textual information correspond to one another.

A method and apparatus for mining text databases, employing sequential pattern phrase identification and shape queries, to discover trends. The method passes over a desired database using a dynamically generated shape query. Documents within the database are selected based on specific classifications and user defined partitions. Once a partition is specified, transaction IDs are assigned to the words in the text documents depending on their placement within each document. The transaction IDs encode both the position of each word within the document as well as representing sentence, paragraph, and section breaks, and are represented in one embodiment as long integers with the sentence boundaries. A maximum and minimum gap between words in the phrases and the minimum support all phrases must meet for the selected time period may be specified. A generalized sequential pattern method is used to generate those phrases in each partition that meet the minimum support threshold. The shape query engine takes the set of phrases for the partition of interest and selects those that match a given shape query. A query may take the form of requesting a trend such as "recent upwards trend", "recent spikes in usage", "downward trends", and "resurgence of usage". Once the phrases matching the shape query are found, they are presented to the user.

A scalable infrastructure for searching multiple disparate textual databases by mapping their contents onto a structured ontology, e.g., of medical concepts. This framework can be leveraged against any database where free-text attributes are used to describe the constituent records.

Disclosed is a question answering method for answering to a question by using in conjunction with a text database storing text data and a speech database storing speech data. In this method, a speech signal of the question is received. A speech recognition for the speech signal is performed to obtain a speech recognition result including a recognition accuracy evaluation value. One of the text database and the speech database is selected by comparing the recognition accuracy evaluation value with a threshold value. Then, the selected database is searched for a search result. An answer to the question is generated based on the search result.

Whenever a document is going to be included into the textual database, a semantic binder is used to associate the document with one or more semantic nodes which are defined in a semantic taxonomy. When a search is performed, a search application looks through a semantic dictionary (which contains a table mapping queries to nodes on the semantic taxonomy) to see whether any corresponding semantic node can be found for the searchers query. If a match is found, the search application transforms the user's query into [“original query” OR “semantic node”] so that relevant documents, even they do not contain any user's keyword, can also be found in the database. The system binds semantic nodes arranged in a hierarchical structure of the taxonomy using a Log Analyzer which periodically looks through the system log for new queries and through textual indices for documents added to the database to generate the semantic dictionary and to bind the semantic nodes to the queries in the textual indices of the documents.

The present invention is a textual discourse analysis with the purpose of analyzing and visualizing of complex text. The invention operates and functions based on conceptual relations, both logical and axiological, among grammatical components of a sentence and across sentences of a given text. Thus, three basic grammatical units, namely Agent/s, Topic/s and Object/s, have been utilized, in order to build a tripartite structure. Discursive analysis of text based on this invention provides a novel approach for automatically classifying positions of Agent/s within particular textual databases vis-a-vis to Topic/s and Object/s, and vice versa. Therefore, as illustrated above, a computer program method of the present invention starts by creating a conceptual map of a given text, classifying semantic macro-areas, positions of Agents, Topics and objects and then correlates such positions with other components in the database. In the next step of the invention, the computer assigns a reference system, provided for analyzing denotative content of discourse. The system is based upon a database of terms of words and phrases and their associated denotative as well as connotative meanings followed by generation of a database, axiologically categorizing subject-matters.

The embodiment of the invention provides a text retrieval method and device. The text retrieval method includes the steps that an original text input by a user is acquired; retrieval words are acquired from the original text; according to the retrieval requirement of the user, the retrieval words are filtered to acquire keywords; the keywords are combined, texts in a text database are retrieved according to the combined keywords, and at least one retrieval text is acquired; the retrieval texts are displayed in a relevancy inverted order mode, and the keywords are highlighted in the retrieval texts, wherein relevancy is used for representing the relevancy degree of the original text and the retrieval texts. Due to the fact that the keywords are acquired by filtering the retrieval words according to the retrieval requirement of the user, the probability that the keywords are invalid words is reduced, and the retrieval requirement is better met compared with the manner that the retrieval words are directly acquired from the original text, the retrieval texts acquired through retrieval by the application of the combined keywords can well meet the retrieval requirement, and therefore retrieval accuracy is improved.

A method and a system for automatically finding one or more answers to a natural language question in a computer stored natural language text database is disclosed. The natural language text database has been analyzed with respect to syntactic functions of constituents, lexical meaning of word tokens and clause boundaries, and the natural language question comprises a question clause. A computer readable representation of the question clause is analyzed with respect to syntactic functions of its constituents and the lexical meaning of its word tokens. In response to the analysis a set of conditions for a clause in the natural language text database to constitute an answer to the question clause is defined. The conditions relate to the syntactic functions of constituents and the lexical meaning of word tokens in the clause. Furthermore, clauses that satisfy said conditions are identified in the natural language text database, and answers to the question clause is returned by means of the identified clauses that matches the conditions.

A translation system comprises an image reading unit that optically reads an image of a manuscript and generates image data; an inputting unit that inputs a translation target language; a character recognizing unit that generates an original text by performing a character recognition process on the image data generated by the image reading unit; a translation text database in which are associated and stored translation texts, language identifiers which specify the languages in which the translation texts are written, and document identifiers which specify the contents of the translation texts; an extracting unit that extracts the document identifier which specifies the content of the original text from the original text; a searching unit that searches the translation text database for a translation text associated with a document identifier identical to the document identifier extracted from the original text by the extracting unit and a language identifier identical to the language identifier which specifies the translation target language input by the inputting unit; and an outputting unit that outputs the translation text searched by the searching unit.

The invention discloses a mobile phone advertising method based on a user consumption feature vector, and belongs to the field of mobile phone data mining and analyzing. The method includes the steps of establishing a user keyword to represent a vector according to browsing contents of a user mobile internet; establishing a user consumption feature vector of a corresponding user according to the browsing contents of the mobile internet; extracting a keyword from an advertisement experience text database and setting a keyword weight, and constructing a characteristic matrix for each user feature vector; computing each component value of the user consumption feature vector of each user; setting the mapping relations between a user consumption tag and each component of the consumption feature vector of the user within different threshold ranges; labeling a corresponding consumption tag for each user and then conducting advertising according to each component of the current consumption feature vector of the user and the mapping relation. The mobile phone advertising method can improve precision of advertising, reduces manual interference, and effectively lowers platform running cost.

The invention provides a similarity-based text duplicate checking method. The method includes the steps of: preprocessing to-be-compared text; screening out all candidate text, of which coarse-grainedsimilarity with the to-be-compared text is greater than a similar-candidate-set threshold value, from a text database, and forming a similar candidate set; using sentences as segmentation units to segment the to-be-compared text and the candidate text; determining fine-grained similarity through calculating TFIDF similarity, LDA similarity, doc2vec similarity and word2vec similarity of the candidate text and the to-be-compared text; and screening out candidate text of which fine-grained similarity exceeds a similarity determination threshold value, and determining the same as similar text ofthe to-be-compared text to realize duplicate checking. The invention also provides a similarity-based text duplicate checking system for realizing the above-mentioned method.

The invention relates to a method which can automatically analyze the propagation process of an internet hot subject, as well as a system thereof, and belongs to the intelligent information processing technology. As the textual information on the internet gradually increases, an important subject in the text mining and information retrieval field is to automatically detect and analyze the hot or sensitive subject from large text database, the subject has great use value. The invention utilizes the natural language processing approach to automatically analyze the propagation process of the text document in the given hot or sensitive subject; after the text documents in the subject are arranged in a time order, the reference origin of the current text document is searched by utilizing the pattern matching method from the first text document, if the reference origin isn't found, the reference origin is further judged by utilizing the text document similarity comparative method, at the same time, the corresponding source text document is obtained. At last, the reference relation is intuitively presented to the user in a graphic mode. The method is widely applicable to internet intelligent information processing, public opinion analyzing and monitoring, etc.

The invention discloses an interactive content generation method and device, a computer equipment and a storage medium, and the method comprises the following steps: receiving the current round information of the carrying session identifier sent by the client, and obtaining at least one current intention parameter based on the current round information; obtaining at least one historical intentionparameter corresponding to the session identifier; analyzing the at least one current intention parameter and the at least one historical intention parameter by adopting a preset reinforcement learning model to obtain a target intention; obtaining a corresponding target intention template based on the target intention; querying a retrieval text database based on each target parameter, and obtaining a retrieval text corresponding to each target parameter; and obtaining current reply information corresponding to each retrieval text, and pushing the current reply information to the client according to a parameter priority sequence. The method can ensure that the chat robot generates accurate reply information in time and replies the reply information to the client.

The invention discloses an original article influence analysis system based on collection of media information. The system comprises a media article data acquisition module, an update module for article page views, comments and likes, an original article clustering analysis module and an original article influence calculation module. The media article data acquisition module is used for acquiringarticle information issued by a media platform in the internet, extracting content text from article information and storing the content text. The update module for article page views, comments and likes is used for obtaining dissemination feedback data of the article information and storing the dissemination feedback data of the article information. The original article clustering analysis moduleis used for clustering all content texts stored in a text database in order to obtain original articles. The original article influence calculation module is used for calculating influence of the original articles in the media platform and used for calculating influence of the original articles in all media platforms. The invention further discloses an original article influence analysis method based on collection of media information. By quantitative analysis of original article influence, analysis efficiency is high and accuracy of analysis is great.

An automatic-reply instant messaging system and a method thereof are provided. First, an identity classification of a contactor is previously classified, when the contactor sends a message to a computer platform, a recognition unit and a message meaning identification unit in the computer platform respectively recognizes the identity classification of the contactor and identifies the meaning of the message, and appropriate texts are selected from a text database to constitute a reply message to reply to the contactor. Therefore, when in some occasion a user on the computer platform is unwilling to or incapable of replying to the message in person, the automatic-reply instant messaging system and the method thereof are used to reply with an appropriate message, so as to avoid misunderstanding between the user and the contactor due to busyness or bad mood on such occasion.

A post-treatment method after character is identified includes identifying characters in file to obtain candidate character of said character and similarity of candidate character, confirming misidentified character by comparing said similarity with preset threshold, forming seek word to carry out search in known text databank to obtain measurement value of said word, using said value to calculate out weight value of misidentified character seek word, confirming correct character being used to correct misidentified character by comparing weight values of all misidentified character seek words.

The invention discloses a method of item-all-weighted positive or negative association model mining between text terms and a mining system applied to the method. The method comprises the following steps of preprocessing by using a Chinese text preprocessing module to establish a text database and a feature word item library; mining item-all-weighted feature word candidate item sets from the text database by utilizing a feature word frequent item set and negative item set mining implementation module, calculating a weight dimension ratio, and cutting out uninteresting item sets by adopting a multi-interestingness threshold value pruning strategy to obtain an interesting item-all-weighted feature work frequent item set and negative item set model; mining an effective item-all-weighted positive or negative association rule model from frequent item sets and negative item sets by utilizing an item-all-weighted positive or negative association rule mining implementation module between terms, and outputting the mined positive or negative association rule model to a user by utilizing an item-all-weighted association model result display module between terms. By applying the method and the system, unnecessary frequent item sets, negative item sets and association rule models can be greatly reduced, Chinese feature word association rule mining efficiency is improved and a high-quality association model between Chinese terms is obtained.

The invention provides a text semantic analysis method, a text semantic analysis terminal and a storage medium. The method comprises the steps of receiving text information input by a user, dividing acharacter string contained in the text information into independent words, and obtaining a word sequence; performing grammar analysis on the divided word sequence, and judging whether a grammar errorexists in the word sequence or not; and converting the words contained in the word sequence into corresponding metadata, calculating semantic similarity between the metadata and feature item weights,extracting a keyword feature item of the word sequence, obtaining a semantic tagged text corresponding to each word, establishing a text database, performing matching in the text database in sequenceaccording to an arrangement sequence of the words in the word sequence to obtain the semantic tagged texts, and performing output display on text information synthesized after sorting. The information is fed back to the user in a metadata format, so that the user can obtain the information fed back by the semantic analysis terminal conveniently and can correctly understand and use the information.

A computing system and method clean a set of hypertext documents to minimize violations of a Hypertext Information Retrieval (IR) rule set. Then, the system and method performs an information retrieval operation on the resulting cleaned data. The cleaning process includes decomposing each page of the set of hypertext documents into one or more pagelets; identifying possible templates; and eliminating the templates from the data. Traditional IR search and mining algorithms can then be used to search on the remaining pagelets, as opposed to the original pages, to provide cleaner, more precise results.