Abstract:
A computer-implemented system and method provide for identifying the core of an idea. The method includes receiving an idea submission which includes a textual description of an idea. The textual description of the idea is natural language processed to identify dependencies (syntactic and/or semantic relations between text elements) in at least a part of the textual description. Provision is made for identifying directive illocutionary acts in the textual description, based on the identified dependencies. The method further includes providing for identifying an idea core of the idea submission, based on an identified directive illocutionary act, where present, and outputting information based on the identified idea core.
Abstract:
A system and method for classifying comments are disclosed. The method includes receiving a collection of comments. Each of the comments in the collection includes text in a natural language and is associated with a previously-submitted idea submission which includes a description of an idea. The method further includes natural language processing each of the comments to identify dependencies (syntactic and/or semantic relations between text elements) in at least a part of the comment. Based on the identified dependencies, the comments are each automatically classified into one (or more) of a plurality of comment classes. The comment classes may include a first class for reaction to the content of the idea, a second class for expression of a commenter's judgment of an idea's value, and a third class for reaction to an idea generation process in which the associated idea submission is made. Information based on the assigned comment classes is output. For example, actions are proposed to use the comments according to their class.
Abstract:
A system and method for classifying comments are disclosed. The method includes receiving a collection of comments. Each of the comments in the collection includes text in a natural language and is associated with a previously-submitted idea submission which includes a description of an idea. The method further includes natural language processing each of the comments to identify dependencies (syntactic and/or semantic relations between text elements) in at least a part of the comment. Based on the identified dependencies, the comments are each automatically classified into one (or more) of a plurality of comment classes. The comment classes may include a first class for reaction to the content of the idea, a second class for expression of a commenter's judgment of an idea's value, and a third class for reaction to an idea generation process in which the associated idea submission is made. Information based on the assigned comment classes is output. For example, actions are proposed to use the comments according to their class.
Abstract:
A method for planning a transportation service includes sending transportation proposal to a plurality of organizations. The proposal includes one or more initial options, each including a set of variable parameters. Each organization can generate a modified option and make a commitment conditional on selected ones of the parameters. Each organization sends respective modified options to commuters of that organization who may specify their own pledges for at least one of the modified options, conditional on the organization-selected values for the variable parameters and optionally on commuter-selected values for the variable parameters. A cost-benefit function is computed for each of a set of revised options for the transportation service, each of the revised options being based on a combination of the variable parameters for which pledges which cover the combination have been received and one or more of the revised options is identified, based on the computed cost-benefit function.