Search Results for author: Eugénio Oliveira

Found 2 papers, 1 papers with code

Learning Word Embeddings from the Portuguese Twitter Stream: A Study of some Practical Aspects

no code implementations • 4 Sep 2017 • Pedro Saleiro, Luís Sarmento, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio Oliveira

Using a single GPU, we were able to scale up vocabulary size from 2048 words embedded and 500K training examples to 32768 words over 10M training examples while keeping a stable validation loss and approximately linear trend on training time per epoch.

Learning Word Embeddings Playing the Game of 2048

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FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings

2 code implementations • SEMEVAL 2017 • Pedro Saleiro, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio Oliveira

This paper presents the approach developed at the Faculty of Engineering of University of Porto, to participate in SemEval 2017, Task 5: Fine-grained Sentiment Analysis on Financial Microblogs and News.

Sentiment Analysis Word Embeddings

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