1096results about "Natural language analysis" patented technology

Systems, apparatuses, and methods for automating avatar selection for groups are disclosed. A representative method includes providing a software application accessible to multiple users, and a database of available avatar characteristics that are selectively combinable to create user-specific avatars with which the users can represent themselves to each other in the application. User(s) associated with a group provide an instruction that associates a first set of the available avatar characteristics with the group. For users associated with the group, access is then restricted to the first set of avatar characteristics, and for users not associated with the group, access is restricted to a different second set of available avatar characteristics. Avatar characteristics in the first set may be selected by an automated procedure that analyzes user-specific avatars of some users, and selects which of the available avatar characteristics to include in the first set based on the analysis.

A method is provided for automatically classifying text into categories. In operation, a plurality of tokens or features are manually or automatically associated with each category. A weight is then coupled to each feature, wherein the weight indicates a degree of association between the feature and the category. Next, a document is parsed into a plurality of unique tokens with associated counts, wherein the counts are indicative of the number of times the feature appears in the document. A category score representative of a sum of products of each feature count in the document times the corresponding feature weight in the category for each document is then computed. Next, the category scores are sorted by perspective, and a document is classified into a particular category, provided the category score exceeds a predetermined threshold.

A system for analyzing language using supervised learning method. The system extracts portions matching the structures of problem expressions from a raw corpus that is not supplemented with analysis information, then converts the extracted portions corresponding to the problem expressions into supervised data including problems and solutions and stores in the data storage. The system extracts sets of solutions and features from the supervised data stored in the data storage, carries out machine learning processing using the sets and stores learned results as to what kind of solution is the most straightforward for which feature in the learning results database. The system then extracts sets of features from the inputting object data, extrapolates analysis information showing the most optimum for a certain feature, from the sets of features based on the learning results database.

A method and apparatus are provided for adapting a language model. The method and apparatus provide supervised class-based adaptation of the language model utilizing in-domain semantic information.