Abstract: Embodiments provide a computer implemented method in a data processing system comprising a processor and a memory comprising instructions, which are executed by the processor to cause the processor to implement the method of identifying negative communications from a plurality of electronic communications, including: extracting a plurality of terms from the plurality of electronic communications, wherein the plurality of terms include subjects, action verbs, adjectives and business objects; identifying variations of each term and grouping the variations for each term to form a dictionary; generating a co-occurrence graph to illustrate relationships between different terms in the plurality of terms; assigning each term with an entity type; identifying a negative intent for each business object using the co-occurrence graph; providing one or more semantic rules, and identifying one or more negative communications having the negative intent based on the one or more semantic rules.

Abstract: Embodiments provide a computer implemented method in a data processing system comprising a processor and a memory comprising instructions, which are executed by the processor to cause the processor to implement the method of identifying negative communications from a plurality of electronic communications, including: extracting a plurality of terms from the plurality of electronic communications, wherein the plurality of terms include subjects, action verbs, adjectives and business objects; identifying variations of each term and grouping the variations for each term to form a dictionary; generating a co-occurrence graph to illustrate relationships between different terms in the plurality of terms; assigning each term with an entity type; identifying an intent for each business object using the co-occurrence graph; providing one or more rules, and identifying one or more negative communications based on the one or more rules.

Abstract: Embodiments provide a computer implemented method in a data processing system comprising a processor and a memory comprising instructions, which are executed by the processor to cause the processor to implement the method of identifying negative communications from a plurality of electronic communications, including: extracting a plurality of terms from the plurality of electronic communications, wherein the plurality of terms include subjects, action verbs, adjectives and business objects; identifying variations of each term and grouping the variations for each term to form a dictionary; generating a co-occurrence graph to illustrate relationships between different terms in the plurality of terms; assigning each term with an entity type; identifying a negative intent for each business object using the co-occurrence graph; providing one or more semantic rules, and identifying one or more negative communications having the negative intent based on the one or more semantic rules.

Abstract: A system and associated method provides a visualization of a life cycle of a trade order. The visualization may be in the form of a tree structure with a plurality of linked nodes. Each node may be associated with an event that occurs during the life cycle of the trade. A monitoring system receives information associated with a plurality of events associated with the trade order, generates a plurality of nodes based on the received information, stores identifiers associated with each of the plurality of nodes, and links the plurality of nodes based on the identifiers to create the tree structure. The monitoring system also performs a verification process to determine whether the visualization is missing information or includes incorrect information and alerts to a discrepancy identified during the verification process.

Abstract: Embodiments provide a computer implemented method in a data processing system comprising a processor and a memory comprising instructions, which are executed by the processor to cause the processor to implement the method of identifying negative communications from a plurality of electronic communications, including: extracting a plurality of terms from the plurality of electronic communications, wherein the plurality of terms include subjects, action verbs, adjectives and business objects; identifying variations of each term and grouping the variations for each term to form a dictionary; generating a co-occurrence graph to illustrate relationships between different terms in the plurality of terms; assigning each term with an entity type; identifying an intent for each business object using the co-occurrence graph; providing one or more rules, and identifying one or more negative communications based on the one or more rules.