In this paper we propose a new method that addresses the documents classification problem with respect to their topic. The presented method takes into consideration only textual measures. We exemplify the method by considering three sets of documents of gradually different topics: (i) the first two sets contain reviews that comment the published entity features characteristics representing electronic devices – laptops and mobile phones; (ii) the third set contains reviews about touristic locations. All the review texts are written in Romanian and were extracted by crawling popular Romanian sites. The paper presents and discusses the obtained evaluation scores after the application of textual measures.
CITATION STYLE
Colhon, M., & Bădică, C. (2018). Knowledge-based metrics for document classification: Online reviews experiments. In Studies in Computational Intelligence (Vol. 798, pp. 425–435). Springer Verlag. https://doi.org/10.1007/978-3-319-99626-4_37
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