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Improving sentiment analysis via crowdsourcing: A testrun with CrowdFlower and StockTwits, and Pybossa

Fusing Textual, Audio and Visual Features for Sentiment Analysis

SSIX and its Market Applications

Artificial intelligence: Another bubble or a game changer?

Comparing three of the most popular crowdsourcing platforms

Social Sentiment Analysis – FREE Training

Potentials of Cloud Databases

How to improve machine learning models for sentiment analysis via crowdsourcing

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

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

GATE 2017 Summer School

Machine Translation in Financial Sentiment Analysis

Anonymizing data without losing information

SemEval 2017 – Task 5: Competition on Fine-Grained Sentiment Analysis

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

Employing Social Sentiment Data for Investment and Trading (Part 2)

Sentiment Classification About Finance Statements

continuous integration

Continuous Integration on your Machine/Deep Learning models with Moven

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

Financial Sentiment across languages

Twitter data anonymization

Employing Social Sentiment Data on Financial Media Analysis

Distributional Semantics made Easy!

GeoFluent implemented in Java and Python

Opensourcing Java and Python clients for the GeoFluent API

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

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

Multilingual Sentiment Analysis

Horizon 2020 Event in Dusseldorf

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

News feeds as data sources

SSIX halftime meeting

Leveraging the Lambda Architecture in SSIX

SSIX Consent Manager

SSIX Consent Manager

Data security

Understanding Sentiment Analysis: Part I

The Importance of the Internet for Political Campaigns

Brexit Twitter sentiment analyses – #Remain side ahead

‘Remain’ is getting weaker

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

“Twitter sentiment analysis indicates ‘Remain’ win”

Brexit: A Game Changer?

ApacheCon North America 2016

Leveraging the Power of Machine Learning in SSIX

Increase relevance of social network data

How to collect data from Twitter

Video – Stakeholder Workshop in Brussels

Sentiment Analysis – Business Opportunities

SSIX project presented in Lisbon at the ALLDATA 2016 conference

Data Sampling

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

Multilingual, domain-specific data analytics

SSIX launched on Storify

Subscription to the SSIX newsletter now open!

Dealing with Big Data and its challenges

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

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

Project General Assembly: Progress and Next Steps

SSIX at LT-Accelerate Conference

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)

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?

SSIX attended the EuDeco Forum for Data Resuse in Lisbon

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

SSIX project attending the ApacheCon Europe 2015

Watch the SSIX presentation from the Sentiment Analysis Symposium in New York

Back from the holidays, catching up with financial market news

SSIX and Lionbridge developing financial indices

SSIX and Lionbridge developing financial indices