西班牙文推文极性分类的深度神经网络比较

2019 XLV Latin American Computing Conference (CLEI) Pub Date : 2019-09-01 DOI:10.1109/CLEI47609.2019.235083

Esteban Rodríguez Betancourt, Pablo Sauma Chacón, Edgar Casasola Murillo

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引用次数: 0

摘要

比较了两种深度神经网络模型在社交网络检索的西班牙语文本极性分类任务中的应用。对于每个模型的准确度、精密度、召回率和F1在一个特定的语料库上进行了计算。此外，还评估了在分类器结果上添加高斯噪声对输入的影响。

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Deep Neural Network Comparison for Spanish Tweets Polarity Classification

Two deep neural network models were compared in the task of polarity classification in Spanish text retrieved from social networks. For each model accuracy, precision, recall and F1 was calculated over a particular corpus. Also, the effect of adding gaussian noise on the inputs over the classifier results was evaluated.

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来源期刊

2019 XLV Latin American Computing Conference (CLEI)

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