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The approach is based on the use of a cooccurrence graph to represent existing relationships among terms in a document with the aim of using centrality measures to extract the most representative words ... The best results obtained for the different datasets are: 77.76% for positive, 100% for negative and 68.04% for neutral, showing that the proposed graph-based representation could be a way of extracting ... Conclusions We have presented an approach that uses a supervised learning method with a graph based representation. ...doi:10.18653/v1/s15-2093 dblp:conf/semeval/CastilloCVBS15 fatcat:u4ifmx2j3zaa5c5lrtvjaq63i4
The approach is based on the creation of a cooccurrence graph per sentiment from the training dataset and a graph per topic from the test dataset with the aim of comparing each topic graph against the ... The overall result obtained for the test dataset according to the proposed task score (KL divergence) is 0.261, showing that the graph based representation and heuristic could be a way of quantifying the ... As further work we propose the following: • Use different co-occurrence windows for modeling the text using a graph based representation. • Experiment with other graph representations for texts that include ...doi:10.18653/v1/s16-1015 dblp:conf/semeval/CastilloCVB16 fatcat:fywrimx2hbdvfmjlsaoht6535a
Technology, Science and Culture - A Global Vision, Volume II
Virus capsids are used as protein cages, scaffolds, and templates for the production of bionanostructured materials, where organic and inorganic molecules could be incorporated in a precise and a controlled ... Abstract There are hundreds of thousands of chemicals used around the world to meet the global demands for food, energy, and a higher standard of living. ... Acknowledgements This work was supported by the Universidad de las Américas Puebla (UDLAP) and Consejo Nacional de Ciencia y Tecnología (CONACYT). ...doi:10.5772/intechopen.90099 fatcat:y3no54foqvaoxjsh7ufwegwo3y