UNIBA - Integrating distributional semantics features in a supervised approach for detecting irony in Italian tweets. Pierpaolo Basile and Giovanni Semeraro.

We propose a supervised approach based on LIBLINEAR that relies on keyword, polarity, micro-blogging features and representation of tweets in a distributional ...

May 17, 2024 · UNIBA - Integrating distributional semantics features in a supervised approach for detecting irony in Italian tweets · Abstract · No full-text ...

A supervised approach based on LIBLINEAR that relies on keyword, polarity, microblogging features and representation of tweets in a distributional semantic ...

This paper describes the UNIBA team participation in the IronITA 2018 task at EVALITA 2018. We propose a supervised approach based on LIBLINEAR that relies on ...

Pierpaolo Basile Giovanni Semeraro. UNIBA - Integrating Distributional Semantics Features in a Supervised Approach for Detecting Irony in Italian Tweets.

UNIBA - Integrating distributional semantics features in a supervised approach for detecting irony in Italian tweets. In Proceedings of the 6th evaluation ...

UNIBA - Integrating distributional semantics features in a supervised approach for detecting irony in Italian tweets. Chapter. Jan 2018.

UNIBA - Integrating distributional semantics features in a supervised approach for detecting irony in Italian tweets. Basile, Pierpaolo ...

UNIBA - Integrating distributional semantics features in a supervised approach for detecting irony in Italian tweets. In Proceedings of the 6th evaluation ...