Patent application number | Description | Published |
20090076795 | System And Method Of Generating Responses To Text-Based Messages - In accordance with one aspect of the present invention, an automated method of and system for generating a response to a text-based natural language message is disclosed. The method includes identifying a sentence in the text-based natural language message. Also, identifying an input clause in the sentence. Further, comparing the input clause to a previously received clause, where the previously received clause is correlated with a previously generated response message. Additionally, generating an output response message based on the previously generated response message. The system includes means for performing the method steps. | 03-19-2009 |
20090234853 | Finding the website of a business using the business name - A system and method are provided for augmenting information on business directory databases. Using the business name contained in a business directory database and Web data mining technology, the website of a business is found and validated, prior to enriching the database entries. | 09-17-2009 |
20090254498 | System and method for identifying critical emails - Disclosed is a method and system for identifying critical emails. To identify critical emails, a critical email classifier is trained from training data comprising labeled emails. The classifier extracts N-grams from the training data and identifies N-gram features from the extracted N-grams. The classifier also extracts salient features from the training data. The classifier is trained based on the identified N-gram features and the salient features so that the classifier can classify unlabeled emails as critical emails or non-critical emails. | 10-08-2009 |
20120065963 | System And Method Of Generating Responses To Text-Based Messages - In accordance with one aspect of the present invention, an automated method of and system for generating a response to a text-based natural language message is disclosed. The method includes identifying a first selected input clause in a sentence in the text-based natural language message. Also, assigning a semantic tag to the first selected input clause and matching the semantic tag to a historical input tag. The historical input tag associated with a first previously generated response clause. Further; generating an output response message based on the historical response clause, the output response message derived from the historical input tag and a second previously generated response clause. The system includes means for performing the method steps. | 03-15-2012 |
20120278361 | USING WEB-MINING TO ENRICH DIRECTORY SERVICE DATABASES AND SOLICITING SERVICE SUBSCRIPTIONS - A system and method are provided for augmenting information on business directory databases and communicating with businesses is disclosed. Using the enriched business directory database and Web mining technology, customized email message are sent inviting businesses to enter their enriched business information into the directory or even subscribe to other paid services provided by the directory service. | 11-01-2012 |
20130024389 | METHOD AND APPARATUS FOR EXTRACTING BUSINESS-CENTRIC INFORMATION FROM A SOCIAL MEDIA OUTLET - A method, non-transitory computer readable medium and apparatus for extracting business centric information from a social media outlet are disclosed. For example, the method obtains a plurality of messages from a social media outlet, classifies a subset of the plurality of messages obtained from the social media outlet as problem messages, extracts problem phrases by extracting a problem phrase from each one of the problem messages, and correlates a problem to a third party entity with the problem phrases. | 01-24-2013 |
20130035932 | SYSTEM AND METHOD OF GENERATING RESPONSES TO TEXT-BASED MESSAGES - A system to generate a response to a text-based natural language message includes a user interface, processing device, and a computer-readable storage medium storing executable instructions to generate the response to the text-based natural language message. The instructions and a method for generating the response include identifying a sentence in the text-based natural language message, identifying an input clause in the sentence, and parsing the input clause, thereby defining a relationship between words in the input clause. The instructions and method also include assigning a semantic tag to the parsed input clause, comparing the input clause to a previously received clause, the previously received clause being correlated with a previously generated response clause, and generating an output response message derived from the previously generated response clause. | 02-07-2013 |