3 citations · 5 across the 4 of their papers we have counts for
5 papers
Graph Centrality Measures for Boosting Popularity-Based Entity Linking
Hussam Hamdan, Jean-Gabriel Ganascia
Many Entity Linking systems use collective graph-based methods to disambiguate the entity mentions within a document. Most of them have focused on graph construction and initial we…
Senti17 at SemEval-2017 Task 4: Ten Convolutional Neural Network Voters for Tweet Polarity Classification
Hussam Hamdan
This paper presents Senti17 system which uses ten convolutional neural networks (ConvNet) to assign a sentiment label to a tweet. The network consists of a convolutional layer foll…
Supervised Term Weighting Metrics for Sentiment Analysis in Short Text
Hussam Hamdan, Patrice Bellot, Frederic Bechet
Term weighting metrics assign weights to terms in order to discriminate the important terms from the less crucial ones. Due to this characteristic, these metrics have attracted gro…
Correlation-Based Method for Sentiment Classification
Hussam Hamdan
The classic supervised classification algorithms are efficient, but time-consuming, complicated and not interpretable, which makes it difficult to analyze their results that limits…
Sentiment Analysis in Scholarly Book Reviews
Hussam Hamdan, Patrice Bellot, Frederic Bechet
So far different studies have tackled the sentiment analysis in several domains such as restaurant and movie reviews. But, this problem has not been studied in scholarly book revie…