HCS at SemEval-2017 Task 5: Polarity detection in business news using convolutional neural networks
Lidia Pivovarova, Llorenç Escoter, Arto Klami, Roman Yangarber · 2017
Task 5 of SemEval-2017 involves finegrained sentiment analysis on financial microblogs and news.Our solution for determining the sentiment score extends an earlier convolutional neural network for sentiment analysis in several ways.We explicitly encode a focus on a particular company, we apply a data augmentation scheme, and use a larger data collection to complement the small training data provided by the task organizers.The best results were achieved by training a model on an external dataset and then tuning it using the provided training dataset.