Posts by SSIX Project

How to improve machine learning models for sentiment analysis via crowdsourcing

Crowdsourcing is a problem solving approach that uses the power of the crowd to perform certain tasks. Usually a task...

SSIX screening of the German election in September 2017 – Part II

Germany has elected a new parliament last Sunday and over the upcoming weeks, the coalition for a new government will...

Twitter Chat | German Election: Lessons from social media sentiment analysis

Friday 29 September | 12:30 – 13:30 Join the debate on Twitter using the hashtag #SSIX Germany has its federal...

SSIX screening of the German election in September 2017 – Part I

One year ago people all over the world were still trying to understand the political earthquake of the Brexit-Votum and...

Sentiment Classification About Finance Statements

Investors daily have received news and opinions about different stocks or firms through specialised platforms. These one convey information, which...

continuous integration

Continuous Integration on your Machine/Deep Learning models with Moven

As we previously discussed, Moven is the small piece of technology we have developed in the SSIX Project for helping...

Twitter Chat | The role of social media in forming public opinion

Join us on Twitter next Thursday 30 March between 2 pm and 3 pm to discuss the role of social...

Financial Sentiment across languages

The SSIX project targets sentiment analysis in the financial domain. One of its main objectives is to overcome language barriers...

Twitter data anonymization

The main source of data for the SSIX project is undoubtedly Twitter. In fact, it is the only platform still providing...

Distributional Semantics made Easy!

The creation of real-world Artificial Intelligence (AI) applications is dependent on leveraging a large volume of commonsense knowledge. Simple semantic...

GeoFluent implemented in Java and Python

Opensourcing Java and Python clients for the GeoFluent API

Following the multilingual approach for Sentiment Analysis described previously, today the SSIX Project is pleased to announce the public release of two...

SSIX is organising a Shared Task in the International Workshop on Semantic Evaluation (SemEval) 2017

What is SemEval ? International Workshop on Semantic Evaluation 2017 SemEval (Semantic Evaluation) is an ongoing series of evaluations of...

Employing Social Sentiment Data for Investment and Trading: An Introduction (Part 1)

This article is the first part from a short series of articles about investment and trading using SSIX social sentiment...

Horizon 2020 Event in Dusseldorf

The Eighth Framework Programme for Research and Innovation of the EU called Horizon 2020 started in 2014. Approaching the halftime...

Moven, Machine/Deep Learning models distribution relying on the Maven infrastructure

Modern NLP pipelines use large models that need to be distributed across all the processing infrastructure. For example, in the...

SSIX halftime meeting

On October 18th – 19th, the SSIX consortium has held its second general assembly in 2016. This meeting, which was...

Leveraging the Lambda Architecture in SSIX

It’s worth emphasizing that fully incremental architectures are so widespread that many people don’t realize it’s possible to avoid their...

Data security

Data security is one of the key aspects taken into consideration by the SSIX project. The choice of the cloud...

Understanding Sentiment Analysis: Part I

Sentiment analysis (SA) is an example of a Natural Language Processing (NLP) application which attracts a lot of attention due...

The Importance of the Internet for Political Campaigns

Important elections move Europe and the United States in 2016. On June 23, the UK decided to leave the EU,...

SSIX BREXIT DATA ANALYSIS: THE VOTE WILL CLOSE IN FAVOUR OF ‘REMAIN’ SIDE

 SSIX BREXIT DATA ANALYSIS @ 23/06/16 10 CET 8pm to 9pm opinion evolution:   24h opinion evolution: 22/06 9pm until...

Brexit Twitter sentiment analyses – #Remain side ahead

23/06/16 09:00 – 14:00 CET The average Brexit opinion remains stable on the ‘Remain’ side, as identified during the last...

‘Remain’ is getting weaker

The Twitter sentiment analysis indicates that ‘Remain’ is still on course to a victory but is getting weaker. In general...

‘Leave’ gains – ‘Remain’ still on course to victory

A slight weakening in the ‘Remain’ side can be noticed. ‘Remain’ opinion is still within the positive range, showing small...

“Twitter sentiment analysis indicates ‘Remain’ win”

This is the conclusion of the Brexit monitoring from today (21 June) by the SSIX EU project consortium. All the X-scores...

Brexit: A Game Changer?

The social sentiment monitoring of the upcoming Brexit vote is our very first attempt to test the SSIX technology live....

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...

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...

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...

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...

Video – Stakeholder Workshop in Brussels

Policymakers are showing growing interest for real-time analysis of public opinion and Big Data. From finance to political campaigners, social...

Sentiment Analysis – Business Opportunities

For ages, companies have invested money, time and effort in marketing campaigns. Marketing serves numerous different purposes. Besides the introduction...

SSIX project presented in Lisbon at the ALLDATA 2016 conference

The SSIX project was presented, by Keith Cortis from the University of Passau, at the second International Conference on Big...

Data Sampling

Filtering out irrelevant data before sampling Pre-sampling filtering aims to discard the least relevant data elements. This filtering can be...

EurActiv’s top 20 finance and social media news of 2015

As this week guest blogger, EurActiv has prepared a list of our best read 2015 editorial coverage of financial markets...

Multilingual, domain-specific data analytics

When a small or medium sized enterprise has developed a great language technology application for English it is often a...

SSIX launched on Storify

SSIX is proud to announce the launch of its live story on Storify!   What can I found on SSIX...

Subscription to the SSIX newsletter now open!

If you don’t want to miss any news from SSIX and its partners, know all the latest news regarding social...

Dealing with Big Data and its challenges

The SSIX consortium has been invested in the Big Data paradigm since the very first moment of the project’s life. Collect, process,...

When finance meets language technology: SSIX at LT-Accelerate Conference

Despite the “Brussels Lockdown”, SSIX too was present at the annual LT-Accelerate Conference in Brussels on 24 November 2015.  ...

Sentiment(al) analysis over time – why is it important to consider not only today’s sentiments, but also the historical ones…

There is a saying about love and war – this applies, I am afraid also to business as well: The...

Project General Assembly: Progress and Next Steps

All members of the SSIX consortium met for a General Assembly on November 17th and18th 2015 in Dublin. The meeting...

SSIX at LT-Accelerate Conference

Do not miss SSIX at the LT-Accelerate conference in Brussels on 23-24 November! Alex Poulis from Lionbridge, one of the...

Why sentiments are important to help companies keep their corporate identity (or a kind-of-plaidoyer for the Volkswagen case mentioned in our previous blog posting)

The main purpose of companies is to satisfy the customers’ needs and making profit of this satisfaction. But in today’s...

News, sentiment, social media, and stock markets – how do all of these relate to each other?

News, sentiment, social media, and stock markets – how do all of these relate to each other?

Current news does affect stock prices and is something that investors always keep an eye on especially when seeking investment....

SSIX attended the EuDeco Forum for Data Resuse in Lisbon

In the context of the ICT conference 2015 by the European Commission, EuDeco organized a Forum for Data Reuse. Dirk...

Sentiment Analysis: dealing with perception in finance – friend or foe?

In our daily lives we all handle a flood of information from various sources (environment, work related, social interactions etc.)....

SSIX project attending the ApacheCon Europe 2015

This week the Apache Software Foundation, in partnership with the Linux Foundation, is organizing in Budapest the ApacheCon Europe 2015. ApacheCon is...

Back from the holidays, catching up with financial market news

  EurActiv, the principal portal for information on EU policies, is one of the partners contributing to the success of...

SSIX Project Sponsoring SEMANTiCS 2015 in Vienna #semantics2015

The SSIX Project will be sponsoring the annual SEMANTiCS conference taking place on 16-17 September in Vienna. SEMANTiCS  is the meeting...

SSIX attended the 1st EuDeco workshop in Madrid

SSIX joined the User Expert Group of the EuDeco project during the first workshop held in Madrid. During the meeting,...

SSIX and Lionbridge developing financial indices

SSIX and Lionbridge developing financial indices

Lionbridge, one of the partners in the SSIX consortium, published a blog post on the Project.   They explain how...

SSIX at the 12th ESWC Conference

SSIX at the 12th ESWC Conference

  The Extended Semantic Web Conference May 31-June 14, 2015 Portoroz (Slovenia) Participants in the ESWC have the opportunity to discuss...

Twitter Cuts Off DataSift To Step Up Its Own Big Data Business

Twitter Cuts Off DataSift To Step Up Its Own Big Data Business

When dealing with “Big Data” coming from big 3rd-party players, particular attention has to be paid to the constant changes and evolutions...