Abstract: The present invention provides a system for identifying, extracting, clustering and analyzing sentiment-bearing text. In one embodiment, the invention implements a pipeline capable of accessing raw text and presenting it in a highly usable and intuitive way.

Abstract: The present invention provides a system for identifying, extracting, clustering and analyzing sentiment-bearing text. In one embodiment, the invention implements a pipeline capable of accessing raw text and presenting it in a highly usable and intuitive way.

Abstract: A system is utilized for determining a relationship between first and second textual inputs. The system identifies constituents in the first textual input, having predetermined characteristics indicative of usefulness in determining the relationship. The relationship is then determined based on the constituents identified. The constituents can be eliminated from the first textual input, weighted in the first textual input, or simply annotated in one of a variety of ways.

Abstract: The present invention relates to systems and methods that determine intent for received data (e.g., email, voice, graphics . . . ) and respond to the data based on the intent. The systems and methods employ various combinations of features based on shallow and deep linguistic analysis (e.g., semantic and syntactic) to yield very high accuracy. The systems and methods analyze and categorize received data to locate data that can include intent. This data can be further refined by extracting features related to the intent. The features can be utilized by a classifier to determine the intent. If the intent warrants a response, the data are further scrutinized and reformulated to generate a description that is indicative of the intent. The reformulation can include representing the features in a logical form, transforming the form and generating a description of the intent that can be presented to a user visually and/or audibly.

Abstract: A text processor processes text in a message. The text processor generates a plurality of compressed forms of components of the message. The processor performs a linguistic analysis on the body of text to obtain a linguistic output indicative of linguistic components of the body of text. The processor then generates the plurality of compressed forms that can be used to compress the body of text. The plurality of compressed forms are generated based on the linguistic output. The invention can be implemented as a method of generating the compressed forms and as an apparatus.

Abstract: A system that facilitates performance of a focused search over a collection of sites comprises a subweb that corresponds to a topic and/or user characteristic(s) that are of interest to the user. The subweb includes a plurality of domains and/or paths (e.g. sites) that are related to the topic and/or the user characteristic(s). Each of the sites within the subweb is assigned a weight that indicates relevance of the site to the desirable topic and/or user characteristic(s). A search engine employs the subweb to facilitate focusing a search over a collection of sites. The search engine receives a query, and utilizes the subweb to focus a search over the selection of sites corresponding to the topic and/or user characteristic(s) represented by the subweb. The results from the search are returned to the user based at least in part upon the relevance weights assigned to the sites within the subweb.

Abstract: A system is utilized for determining a relationship between first and second textual inputs. The system identifies constituents in the first textual input, having predetermined characteristics indicative of usefulness in determining the relationship. The relationship is then determined based on the constituents identified. The constituents can be eliminated from the first textual input, weighted in the first textual input, or simply annotated in one of a variety of ways.

Abstract: A system is utilized for determining a relationship between first and second textual inputs. The system identifies constituents in the first textual input, having predetermined characteristics indicative of usefulness in determining the relationship. The relationship is then determined based on the constituents identified. The constituents can be eliminated from the first textual input, weighted in the first textual input, or simply annotated in one of a variety of ways.

Abstract: A system is utilized for determining a relationship between first and second textual inputs. The system identifies constituents in the first textual input, having predetermined characteristics indicative of usefulness in determining the relationship. The relationship is then determined based on the constituents identified. The constituents can be eliminated from the first textual input, weighted in the first textual input, or simply annotated in one of a variety of ways.

Abstract: The present invention relates to a system and methodology that applies automated learning procedures for determining document relevance and assisting information retrieval activities. A system is provided that facilitates a machine-learned approach to determine document relevance. The system includes a storage component that receives a set of human selected items to be employed as positive test cases of highly relevant documents. A training component trains at least one classifier with the human selected items as positive test cases and one or more other items as negative test cases in order to provide a query-independent model, wherein the other items can be selected by a statistical search, for example. Also, the trained classifier can be employed to aid an individual in identifying and selecting new positive cases or utilized to filter or re-rank results from a statistical-based search.

Abstract: A system is utilized for determining a relationship between first and second textual inputs. The system identifies constituents in the first textual input, having predetermined characteristics indicative of usefulness in determining the relationship. The relationship is then determined based on the constituents identified. The constituents can be eliminated from the first textual input, weighted in the first textual input, or simply annotated in one of a variety of ways.

Abstract: A system is utilized for determining a relationship between first and second textual inputs. The system identifies constituents in the first textual input, having predetermined characteristics indicative of usefulness in determining the relationship. The relationship is then determined based on the constituents identified. The constituents can be eliminated from the first textual input, weighted in the first textual input, or simply annotated in one of a variety of ways.

Abstract: A text processor processes text in a message. The text processor generates a plurality of compressed forms of components of the message. The processor performs a linguistic analysis on the body of text to obtain a linguistic output indicative of linguistic components of the body of text. The processor then generates the plurality of compressed forms that can be used to compress the body of text. The plurality of compressed forms are generated based on the linguistic output. The invention can be implemented as a method of generating the compressed forms and as an apparatus.

Abstract: A system filters documents in a document set retrieved from a document store in response to a query. The system obtains a first set of logical forms based on a selected one of the query and the documents in the document set. The system obtains a second set of logical forms based on another of the query and the documents in the document set. The system then uses natural language processing techniques to modify the first logical forms to obtain a modified set of logical forms. The system filters documents in the document set based on a predetermined relationship between the modified set of logical forms and the second set of logical forms.

Abstract: A system is utilized for determining a relationship between first and second textual inputs. The system identifies constituents in the first textual input, having predetermined characteristics indicative of usefulness in determining the relationship. The relationship is then determined based on the constituents identified. The constituents can be eliminated from the first textual input, weighted in the first textual input, or simply annotated in one of a variety of ways.

Abstract: A text processor processes text in a message. The text processor generates a plurality of compressed forms of components of the message. The processor performs a linguistic analysis on the body of text to obtain a linguistic output indicative of linguistic components of the body of text. The processor then generates the plurality of compressed forms that can be used to compress the body of text. The plurality of compressed forms are generated based on the linguistic output. The invention can be implemented as a method of generating the compressed forms and as an apparatus.

Abstract: A method is implemented in a computerized system that provides access to a search tool capable of searching at least one stored record. The method includes determining whether a search query is a logical query by comparing each search term to a set of logical operators. If a search term is in the set of logical operators it is removed from the search query to produce a modified search query. The modified search query is then passed to a search engine.

Abstract: A method of computerized searching receives parameters of a search query from a user and adds a restriction to the parameters to require that at least two of the search terms of the search query appear in a same sentence in a document. A representation of a set of documents is then searched based on the parameters of the search query and the added restriction. Documents that meet the search parameters and the added restriction are thus identified.

Abstract: A system is utilized for determining a relationship between first and second textual inputs. The system identifies clauses in the first textual input having predetermined characteristics indicative of usefulness in determining the relationship. The relationship is then determined based on the clauses identified. The clauses can be eliminated from the first textual input, weighted in the first textual input, or simply annotated.

Abstract: Apparatus and accompanying methods for an information retrieval system that utilizes natural language processing to process results retrieved by, for example, an information retrieval engine such as a conventional statistical-based search engine, in order to improve overall precision. Specifically, such a search ultimately yields a set of retrieved documents. Each such document is then subjected to natural language processing to produce a set of logical forms. Each such logical form encodes, in a word-relation-word manner, semantic relationships, particularly argument and adjunct structure, between words in a phrase. A user-supplied query is analyzed in the same manner to yield a set of corresponding logical forms therefor. Documents are ranked as a predefined function of the logical forms from the documents and the query.