Abstract: A system and method for analyzing narrative data based on a functional ontology using semiotic square functions to produce analyzed data outputs. A computer implemented method accesses narrative data and reads a semiotic square function data table for each verb in the sequence of words, each semiotic square function data table classifies at least one verb in each sentence pattern as a functional type and includes one or more words in a semiotic square relationship to the verb classified, the functional type applying at least one symmetrical relationship between a first actor and a second actor in the narrative data. The method parses each sentence which includes a verb matching a functional type to match sentence subjects and objects to an event template and outputs an analysis of the narrative data relative to a common story theme based on a sequence of event records.

Abstract: A system and method for analyzing narrative data based on a functional ontology using semiotic square functions to produce analyzed data outputs. A computer implemented method accesses narrative data and reads a semiotic square function data table for each verb in the sequence of words, each semiotic square function data table classifies at least one verb in each sentence pattern as a functional type and includes one or more words in a semiotic square relationship to the verb classified, the functional type applying at least one symmetrical relationship between a first actor and a second actor in the narrative data. The method parses each sentence which includes a verb matching a functional type to match sentence subjects and objects to an event template and outputs an analysis of the narrative data relative to a common story theme based on a sequence of event records.

Abstract: A computer implemented method includes accessing narrative data, the narrative data comprising a sequence of words arranged in sentence patterns. The method parses each sentence in a sentence pattern which includes a verb matching a functional type to extract sentence subjects and objects to an event template. The method then stores events in an event data store, each event including sentence data mapped to the event template to create an event record. The method further includes mapping event records to a story rule, each story rule including at least one actor and an action associated with the actor, and the mapping includes storing a story record including the event records organized by time. An output of an analysis of the story record occurs, where the analysis is based on a list of transgression actions and retribution actions, and balances the transgression actions and the retribution actions.

Abstract: A computer implemented method which accesses multiple sets of narrative data, each set of narrative data comprising event records mapped to one of a plurality of story rules to create a plurality of story event sequences based on the event records and the story rules. The method compares a first story event sequence and a second story event sequence. The comparison comprises a method for determining a taxonomical distance between elements of narrative data in one set of narrative data to a corresponding element of narrative data in another set of narrative data; and performing an optimal matching between events in two sets of narrative data. The method outputs a similarity result between the sets of narrative data.

Abstract: A computer implemented method predicting a next event in a sequence of events in a story narrative. The method reads narrative data, the narrative data comprising a sequence of words arranged in sentence patterns. The method extracts event records from the narrative data, the event records ordered to create a story. Mapping event records to a story rule is then performed to create a sequence of story events based on the event records and the story rule. The technology then outputs a first predictive event based on the sequence of story events, the predictive story event generated from at least one predictive method of a plurality of predictive methods. The outputting is repeated for a second predictive method of the plurality of predictive methods to produce a second predictive event.

Abstract: A semiotic square search and/or sentiment analysis system and method are provided. In one implementation, a software implemented document search system and method are disclosed. The system and method may be used to analyze sentiments in various types of data including documents, blogs, text strings, posts, etc. . . . .