75 results about "Category specific" patented technology

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.

Computer-implemented methods are described for, first, characterizing a specific category of information content—pornography, for example—and then accurately identifying instances of that category of content within a real-time media stream, such as a web page, e-mail or other digital dataset. This content-recognition technology enables a new class of highly scalable applications to manage such content, including filtering, classifying, prioritizing, tracking, etc. An illustrative application of the invention is a software product for use in conjunction with web-browser client software for screening access to web pages that contain pornography or other potentially harmful or offensive content. A target attribute set of regular expression, such as natural language words and / or phrases, is formed by statistical analysis of a number of samples of datasets characterized as “containing,” and another set of samples characterized as “not containing,” the selected category of information content. This list of expressions is refined by applying correlation analysis to the samples or “training data.” Neural-network feed-forward techniques are then applied, again using a substantial training dataset, for adaptively assigning relative weights to each of the expressions in the target attribute set, thereby forming an awaited list that is highly predictive of the information content category of interest.

Various embodiments of the present invention include information-aggregation-and-classification components of content-search-service systems which acquire information from information sources, aggregate and normalize the acquired information, and classify the acquired information prior to storing the normalized and classified information for use by language-model-builder components and ontology-builder components of the content-search-service systems. Additional embodiments of the present invention include the ontology-builder components, which builds ontologies from the normalized and classified information for specific dates, date / times, date ranges, or date / time ranges and for specific categories.

Users belonging to a particular category at a networking site are monitored by a system and according to a method for their selection of articles from a networking update stream. The characteristics of the users, including the categories they belong to, are received as metadata corresponding to the each respective article. Periodically an article database is queried according to the category and a selected time period to determine the number of users that have chosen to follow the industry and that have initiated selection actions towards articles in the database. Articles from the query are ranked according to their popularity among users having interest in the same industry category and are presented to a viewing user at the networking site.