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        <title>Are Manually Prepared Affective Lexicons Really Useful for Sentiment Analysis</title>
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    <abstract>In this paper, we investigate the effectiveness of different affective lexicons through sentiment analysis of phrases. We examine how phrases can be represented through manually prepared lexicons, extended lexicons using computational methods, or word embedding. Comparative studies clearly show that word embedding using unsupervised distributional method outperforms manually prepared lexicons no matter what affective models are used in the lexicons. Our conclusion is that although different affective lexicons are cognitively backed by theories, they do not show any advantage over the automatically obtained word embedding.</abstract>
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%0 Conference Proceedings
%T Are Manually Prepared Affective Lexicons Really Useful for Sentiment Analysis
%A Li, Minglei
%A Lu, Qin
%A Long, Yunfei
%S Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
%D 2017
%8 nov
%I Asian Federation of Natural Language Processing
%C Taipei, Taiwan
%F li-etal-2017-manually
%X In this paper, we investigate the effectiveness of different affective lexicons through sentiment analysis of phrases. We examine how phrases can be represented through manually prepared lexicons, extended lexicons using computational methods, or word embedding. Comparative studies clearly show that word embedding using unsupervised distributional method outperforms manually prepared lexicons no matter what affective models are used in the lexicons. Our conclusion is that although different affective lexicons are cognitively backed by theories, they do not show any advantage over the automatically obtained word embedding.
%U https://aclanthology.org/I17-2025
%P 146-150

Markdown (Informal)

[Are Manually Prepared Affective Lexicons Really Useful for Sentiment Analysis](https://aclanthology.org/I17-2025) (Li et al., IJCNLP 2017)

• Are Manually Prepared Affective Lexicons Really Useful for Sentiment Analysis (Li et al., IJCNLP 2017)

ACL

• Minglei Li, Qin Lu, and Yunfei Long. 2017. Are Manually Prepared Affective Lexicons Really Useful for Sentiment Analysis. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 146–150, Taipei, Taiwan. Asian Federation of Natural Language Processing.