Page 39 - Special Topic Session (STS) - Volume 4

STS558 Sachvinder Singh
Handshakes SEER
➢ Context and linguistics analysis, entity and relationship extraction,
tabular and paramedic data harvesting- all in one self – evolving,
machine learning package. The Handshakes SEER can be used to
monitor global websites and news; process volumes of customer
feedback; extract knowledge from emails, categorise terabytes of
documents and so much more. The SER technology can be applied o
any large collection of text too unwieldy (or impractical) for any
individual to process- saving many days effort and rendering
previously impossible tasks, possible.
➢ The Handshakes platform is also powered by “SEER”, a natural
language processing artificial intelligence engine that processes text
and automatically extracts data about people and companies. The
extracted data can be seamlessly delivered to the Handshakes platform
to enrich the main database. (For example, SEER can automatically
process a news article that mentions companies and people and add
that data into the main database. SEER extraction is accurate and
reliable enough for regulators to rely on, our Capital Markets dataset
which regulators use daily processed by SEER.

➢ Technology that Handshakes Possess includes;
✓ Automated Entity Resolution:
✓ Matching entities and names automatically, reliably.
✓ Network Analytics Algorithms: E.g. Interconnection, Beneficial
Ownership...etc
✓ Named Entity Recognition
✓ Semantic Classification

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