What is a SSIX template?

SSIX templates are general-purpose frameworks that can be personalised and then modified in a unique way, customising the functionality and process flow of the SSIX software.

 

What are X-Scores?

X-Scores are the time series metrics derived from Natural language processing (NLP) categorised by metadata and smart data. The different time series data streams mostly consist of volume and oscillator indicators; an example would be AAPL-VX, which is Volatility of sentiment X-Score for Apple Inc.

 

What data sources (social, news, etc.) are being used in SSIX?

SSIX is focused on social sentiment, and thus the primary data sources will be social media platformS such as Twitter, StockTwits, Facebook, LinkedIn and Google+. The platform will also be capable extracting these signals from the most reliable and authoritative newswires, news feeds and blogs. One of the key benefits SSIX brings is the ability to carry out multilingual analysis; non-English language support is underrepresented in the current market offering.

 

What open source technologies are being used in SSIX?

SSIX is using many state-of-the-art open source solutions such as Apache Kafka, Apache Cassandra and General Architecture for Text Engineering (GATE).

 

Is SSIX an open-source project?

There will be an open source version of the platform. Some proprietary features may be covered by a licence for the full version.

 

What domains can SSIX be used for?

The primary domain that the NLP pipeline is being designed for is finance, specifically to be used for trading and investment. However, the platform can be used in other domains, requiring some additional NLP configuration and training.

 

Why should you use SSIX?

The aim of the Horizon 2020 action which the SSIX project is under is to improve the ability of European companies to build innovative multilingual data products and services, in order to turn large data volumes into semantically interoperable data assets and knowledge. SSIX aims to help meet this objective with the creation of a collection of adaptable tools which can be used to create actionable analytics from large amounts of multilingual data sets; producing sentiment metrics which can be utilised by European companies, enabling them to make more informed business decisions.