BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMs

SEMEVAL 2017 Mathieu Cliche

In this paper we describe our attempt at producing a state-of-the-art Twitter sentiment classifier using Convolutional Neural Networks (CNNs) and Long Short Term Memory (LSTMs) networks. Our system leverages a large amount of unlabeled data to pre-train word embeddings... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Sentiment Analysis SemEval LSTMs+CNNs ensemble with multiple conv. ops F1-score 0.685 # 1