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 SM ISO690:2012BOBICEV, Victoria. Text classification: The case of multiple labels. In: IEEE International Conference on Communications: COMM 2016, 9-11 iunie 2016, București. New Jersey, SUA: Institute of Electrical and Electronics Engineers Inc., 2016, Ediţia a 11-a, pp. 39-42. ISBN 978-146738196-3. ISSN 15503607. DOI: https://doi.org/10.1109/ICComm.2016.7528314 |
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 IEEE International Conference on Communications Ediţia a 11-a, 2016 |
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Conferința "11th IEEE International Conference on Communications" București, Romania, 9-11 iunie 2016 | ||||||
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| DOI:https://doi.org/10.1109/ICComm.2016.7528314 | ||||||
| Pag. 39-42 | ||||||
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Analysis of subjectivity is the actively developed direction of research in text mining. The paper presents machine learning experiments on classification of sentiments in forum texts. We explore the difficult task of classification when texts are labeled by several sentiment labels and in this condition we reach the average F-measure equal to 0.805. |
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| Cuvinte-cheie machine learning, multi-label classification, natural language processing, sentiment analysis, text classification |
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