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- W2017265564 abstract "Although opinion mining solutions with good performance exist for English, it is much more difficult to develop an effective solution for other languages. Moreover, even in English the results deteriorate strongly if the texts that are processed are from a variety of contexts (domains, sources, etc.) We present the preliminary results of several experiments with a system that uses machine learning in order to identify opinions in a corpus in Romanian that was manually annotated. This dataset contains texts from a wide range of sources: popular social networking sites, blogs, comments, news providers and online forums." @default.
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- W2017265564 date "2013-08-01" @default.
- W2017265564 modified "2023-09-26" @default.
- W2017265564 title "Opinion mining for social media and news items in Romanian" @default.
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- W2017265564 doi "https://doi.org/10.1109/icconscs.2013.6632054" @default.
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