Machine Translation in Financial Sentiment Analysis

As we discussed in previous posts, the SSIX project [1] aims at overcoming language barriers by creating a financial sentiment...

Anonymizing data without losing information

Among the information collected from several data sources it could be easy to incur in data that may be identified...

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

Following on from our previous SemEval post ‘SSIX is organising a Shared Task in the International Workshop on Semantic Evaluation...

SSIX screening of the German election in September 2017

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

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

Following on our previous article from December 16th, 2016. We now discuss the use of a social sentiment data for...

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...

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