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        <title>Exploring Convolutional Neural Networks for Sentiment Analysis of Spanish tweets</title>
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    <name type="personal">
        <namePart type="given">Isabel</namePart>
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    <name type="personal">
        <namePart type="given">Antonio</namePart>
        <namePart type="family">Quirós</namePart>
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    <name type="personal">
        <namePart type="given">Paloma</namePart>
        <namePart type="family">Martínez</namePart>
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            <title>Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers</title>
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        <name type="personal">
            <namePart type="given">Mirella</namePart>
            <namePart type="family">Lapata</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Phil</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Alexander</namePart>
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            <publisher>Association for Computational Linguistics</publisher>
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    <abstract>Spanish is the third-most used language on the internet, after English and Chinese, with a total of 7.7% (more than 277 million of users) and a huge internet growth of more than 1,400%. However, most work on sentiment analysis has been focused on English. This paper describes a deep learning system for Spanish sentiment analysis. To the best of our knowledge, this is the first work that explores the use of a convolutional neural network to polarity classification of Spanish tweets.</abstract>
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%0 Conference Proceedings
%T Exploring Convolutional Neural Networks for Sentiment Analysis of Spanish tweets
%A Segura-Bedmar, Isabel
%A Quirós, Antonio
%A Martínez, Paloma
%Y Lapata, Mirella
%Y Blunsom, Phil
%Y Koller, Alexander
%S Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F segura-bedmar-etal-2017-exploring
%X Spanish is the third-most used language on the internet, after English and Chinese, with a total of 7.7% (more than 277 million of users) and a huge internet growth of more than 1,400%. However, most work on sentiment analysis has been focused on English. This paper describes a deep learning system for Spanish sentiment analysis. To the best of our knowledge, this is the first work that explores the use of a convolutional neural network to polarity classification of Spanish tweets.
%U https://aclanthology.org/E17-1095/
%P 1014-1022

Markdown (Informal)

[Exploring Convolutional Neural Networks for Sentiment Analysis of Spanish tweets](https://aclanthology.org/E17-1095/) (Segura-Bedmar et al., EACL 2017)

• Exploring Convolutional Neural Networks for Sentiment Analysis of Spanish tweets (Segura-Bedmar et al., EACL 2017)

ACL

• Isabel Segura-Bedmar, Antonio Quirós, and Paloma Martínez. 2017. Exploring Convolutional Neural Networks for Sentiment Analysis of Spanish tweets. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 1014–1022, Valencia, Spain. Association for Computational Linguistics.