X-Scores

Raw Scores – time series data streams from opinion mining and Statistical Scores – for deeper analysis of sentiment behaviour

SSIX Index

SSIX will use multiple custom X-Scores data streams to generate a SSIX Index for any target

Multilingual NLP

SSIX will provide multilingual opinion mining with the aim to cover the most widely used European languages

 

Real Time Analysis

SSIX aims to provide near real-time sentiment analysis in addition to extensive analysis on time frame series with additional data sources

API

Customisable API for the SSIX Index and X-Scores will allow SMEs to easily integrate SSIX technologies into their own platforms

Visualization

SSIX will provide an interactive visual and analyses dashboard allowing users to easily understand sentiment dynamics


Latest News

apachebigdata-landing

ApacheCon North America 2016

Following the activities initiated last September in Budapest, this whole week the SSIX Project will be in Vancouver (BC, Canada) for attending the ApacheCon...

Machine Learning

Leveraging the Power of Machine Learning in SSIX

Why Machine Learning? Can computers learn how to perform complex tasks such as driving autonomous cars [1], spotting cancer cells...

Lionbridge

Increase relevance of social network data

As discussed in a previous post, Social Network data will be one of the main sources of the SSIX Sentiment...

twitter stream

How to collect data from Twitter

Twitter is one of the platforms identified as data source within the SSIX project. Let’s see the different techniques that can...

SSIX Project Background

Social Sentiment analysis financial IndeXes – Provides Social Sentiment Index – Powered by X-Scores – Creating actionable analytics from unstructured social and structured news content. SSIX is a Pan-European partnership with six countries participating. A collaboration between SME’s and Academic Institutions – two Research Partners are involved in Big Data analytics and semantic technologies research. Three Deployment and Pilot Partners. Expertise in Natural language processing research and Financial Analytics.

Horizon-20201

The Social Sentiment analysis financial IndeXes project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme ICT 2014 – Information and Communications Technologies under grant agreement No. 645425

 Project Partners

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