Deep Tweets: from Entity Linking to Sentiment Analysis

Abstract : The huge amount of information streaming from online social networking is increasingly attracting the interest of researchers on sentiment analysis on micro-blogging platforms. We provide an overview on the open challenges of sentiment analysis on Italian tweets. We discuss methodological issues as well as new directions for investigation with particular focus on sentiment analysis of tweets containing figurative language and entity-based sentiment analysis of micro-posts.
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Communication dans un congrès
Proceedings of the Italian Computational Linguistics Conference (CLiC-it 2015), Dec 2015, Trento, Italy
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https://hal.inria.fr/hal-01342435
Contributeur : Valerio Basile <>
Soumis le : mercredi 6 juillet 2016 - 09:19:25
Dernière modification le : jeudi 7 juillet 2016 - 01:04:54

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Pierpaolo Basile, Valerio Basile, Malvina Nissim, Nicole Novielli. Deep Tweets: from Entity Linking to Sentiment Analysis. Proceedings of the Italian Computational Linguistics Conference (CLiC-it 2015), Dec 2015, Trento, Italy. <hal-01342435>

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