no code implementations • 10 Oct 2016 • Hussam Hamdan
And then a classifier based on each metric is proposed, evaluated and compared to the classic classification algorithms which have proved their performance in many studies.
no code implementations • 30 Nov 2017 • Hussam Hamdan, Jean-Gabriel Ganascia
Many Entity Linking systems use collective graph-based methods to disambiguate the entity mentions within a document.
no code implementations • SEMEVAL 2017 • Hussam Hamdan
This paper presents Senti17 system which uses ten convolutional neural networks (ConvNet) to assign a sentiment label to a tweet.
no code implementations • 10 Oct 2016 • Hussam Hamdan, Patrice Bellot, Frederic Bechet
While previous studies have focused on proposing or comparing different weighting metrics at two-classes document level sentiment analysis, this study propose to analyse the results given by each metric in order to find out the characteristics of good and bad weighting metrics.
no code implementations • 4 Mar 2016 • Hussam Hamdan, Patrice Bellot, Frederic Bechet
So far different studies have tackled the sentiment analysis in several domains such as restaurant and movie reviews.
no code implementations • LREC 2014 • Chahinez Benkoussas, Hussam Hamdan, Patrice Bellot, Fr{\'e}d{\'e}ric B{\'e}chet, Elodie Faath
In this paper, we present our contribution for the automatic construction of the Scholarly Book Reviews corpora from two different sources, the OpenEdition platform which is dedicated to electronic resources in the humanities and social sciences, and the Web.