Search Results for author: Rapha{\"e}l Troncy

Found 6 papers, 0 papers with code

SentiME++ at SemEval-2017 Task 4: Stacking State-of-the-Art Classifiers to Enhance Sentiment Classification

no code implementations SEMEVAL 2017 Rapha{\"e}l Troncy, Enrico Palumbo, Efstratios Sygkounas, Giuseppe Rizzo

In this paper, we describe the participation of the SentiME++ system to the SemEval 2017 Task 4A {``}Sentiment Analysis in Twitter{''} that aims to classify whether English tweets are of positive, neutral or negative sentiment.

General Classification Sentiment Analysis

Benchmarking the Extraction and Disambiguation of Named Entities on the Semantic Web

no code implementations LREC 2014 Giuseppe Rizzo, Marieke van Erp, Rapha{\"e}l Troncy

Detecting and classifying named entities has traditionally been taken on by the natural language processing community, whilst linking of entities to external resources, such as those in DBpedia, has been tackled by the Semantic Web community.

Entity Linking Named Entity Recognition

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