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Sprylogics Technology Update
(Canada Newswire Via Acquire Media NewsEdge)
TORONTO, April 10, 2012 /CNW/ - Sprylogics International Corp. - TSX Venture: SPY ("Sprylogics" or the "Company") is pleased to provide a technology
update:
The Sprylogics Technology Team is focused on leveraging and enhancing
the existing patent pending technology base to build mobile search
solutions that interpret what people are saying online and on their
mobile phones in order to:
a) Better understand what they are looking for (query intent);
b) Better understand trends and patterns in people's behavior and
opinions in aggregate (improve quality and relevancy of search
results).
This is accomplished through the use of semantic technologies and
natural language processing techniques like entity extraction, semantic
graph creation, disambiguation, matching and clustering to process
massive volumes of unstructured data in order to extract key
sentiments, facts, opinions, user interests and intents.
The team which is comprised of multiple engineers, data scientists,
semantic researchers and mobile application developers and includes 3
PhDs is focused on four streams of development activities.
1. Named Entity, Fact, and Opinion Extraction:
The Sprylogics Natural Language Processing team has created an Software
Development Kit ("SDK") that enables partners to extract entities,
facts and opinions out of unstructured text. The SDK uses a combination
of statistical techniques (machine learning trained algorithms) and
formal grammar to analyze sentence structure, identify participating
entities and extract relationships between sentence elements that
signify facts and opinions.
The extraction team has recently expanded the core Natural Language
Processing capabilities of the platform through improved precision and
accuracy of entity, fact and opinion extraction and has recently
distributed an updated version of the Natural Language extraction SDK
to select partners.
2. Machine Learning:
The Sprylogics Machine Learning team has evaluated and implemented
various machine learning algorithms for the purposes of text
classification. Trained algorithms are able to classify sentences in
natural format as they occur in common conversations, such as in chats,
on Facebook or natural language search queries into multiple verticals
which enable querying the most appropriate APIs for obtaining
answers. The algorithms developed by the Machine Learning team
are currently able to classify sentences that occur in natural
conversations for multiple key verticals of interest with mid 90%
accuracy.
3. Knowledge Base:
The Sprylogics Knowledge Base team has concentrated on creating a fast,
distributed and scalable knowledge base infrastructure which stores
known facts about millions of entities. The Knowledge base team has
integrated multiple data sources including dbpedia and others into the
core processing pipeline to further enable discovery of facts about
extracted entities.
4. Mobile Development and APIs:
The advances in the improvement of the core natural language processing
and semantic platform have culminated in the creation of the APIs and
mobile development SDKs that enable partners to embed intuitive,
semantically relevant search and advertising experience into their
mobile applications. The Mobile Development team has successfully
demonstrated its "Liquid Messaging" Search API and HTML5 interfaces to
several leading messaging providers and is now entering technical
evaluation and proof of concept phases with select partners.
The technology team is currently on track for the upcoming early June
milestone of delivering the initial production release of the APIs and
mobile SDKs to various partners for integration into mobile messaging
applications.
"I am very excited with the immense progress that we have made in our
objective of better understanding of natural language thereby improving
our semantic search capabilities. The extraction, processing and
interpretation of natural language at scale represents some of the most
challenging technical problems today, but with our extremely talented
research and technology team, we continue to advance our patent pending
technologies at a rapid pace. We look forward to the integration of our
solutions into our mobile partner applications which will enable a very
differentiated mobile search user experience which can be easily
monetized," said Alex Zivkovic, CTO of Sprylogics.
About Sprylogics International Corp.
Sprylogics International develops advanced search and analysis
technology. The patent pending technology platform uses Semantic and
Machine Learning techniques to process, analyze and
interpret unstructured data including real time conversation, in order
to extract key sentiments, facts, user interests and intent. The
technology platform is currently being used to develop innovative
solutions related to search and discovery of products and places on
mobile devices. Find out more at www.sprylogics.com.
Neither TSX Venture Exchange nor its Regulation Services Provider (as
that term is defined in the policies of the TSX Venture Exchange)
accepts responsibility for the adequacy or accuracy of this release.
Cautionary and Forward-Looking Statements
Statements contained in this news release which are not historical facts
are forward-looking statements that involve risk, uncertainties and
other factors that could cause actual results to differ materially from
those expressed or implied by such forward-looking statements. There
can be no assurance that such statements will prove to be accurate and
actual results and future events could differ materially from those
anticipated in such statements. All forward-looking statements
included in this news release are based on information available to the
Company on the date hereof. The Company assumes no obligation to
update any forward-looking statements, except as required by applicable
securities laws.
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