pTools solutions leverage Artificial Intelligence and Natural Language Processing (NLP) in the context of targeted data extraction to automate the processing of data categorisation.
The solution indexes and analyses language, sentiment, key phrases, entity data, analysis across different fields and formats for approval and validation of related entity and authentication.
Solutions capture organisational knowledge of experienced staff that have worked in announcements for many years and allowsnewer staff members to process announcements more effectively.
By enabling newer staff to handle complex announcement where issues occur and detailed document analysis is required the solution automatically escalates such issues to senior staff.
Continued “Learning” and rule setting in NLP helps the system adapt to new validation scenarios and information formats. This automated processing reduces the potential for manual processing errors and increases accuracy and consistency of publishing in standard output.
NLP offers a wide range of automated data definitions; Indexing, Sentiment Analysis, Pattern Matching, Named Entity Recognition, Boundary Detection, Terminology Extraction, Data Grouping.
The use of NLP automates core announcements attributes, including; Company/Issuer Name Identification, Announcement Date, Dividend Amount, Dividend Type, Record Date and more.
Current developments include the addition of suggested SWIFT messaging codes to aspects of announcement data. This enhances the value and readiness for syndication across markets.
To further enhance the validation of announcements data, the system offers reference data integration capabilities oriented to company identity and matching to LEI and ISIN codes.
Compliance with SRD II (Shareholder Rights Directive) is a significant undertaking and automation of announcements enables improved reference data matching and syndication.