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IberEval2017
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项目作者:
Ambros94
项目描述 :
Neural networks (CNN, LSTM, MLP) for tweets classifications using fastText word vectors
高级语言:
Python
项目主页:
项目地址:
git://github.com/Ambros94/IberEval2017.git
创建时间:
2017-03-15T17:46:18Z
项目社区:
https://github.com/Ambros94/IberEval2017
开源协议:
GNU General Public License v3.0
下载
presentation_1647062234387.pdf
master_1647062234409.pdf
A Fine-grained Annotation of Irony in Italian social media texts_1647062234493.pdf
A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence Classification_1647062234645.pdf
A Societal Sentiment Analysis Predicting the Values and Ethics_1647062234661.pdf
Enriching Word Vectors with Subword Information_1647062234671.pdf
PRHLT at PR-SOCO A Regression Model for Predicting Personality Traits from Source Code_1647062234692.pdf
Segmenting Target Audiences Automatic Author_1647062234702.pdf
cnn_kim_model_1647062234743.pdf
fasttext_1647062234752.pdf
master_1647062234782.pdf
master_1647062234790.pdf
master_1647062234798.pdf
projectProposalARF_1647062234821.pdf
Embeddings_1647062234856.pdf
Preprocessing_1647062234926.pdf
stance-ca_1647062235073.pdf
stance-es_1647062235081.pdf