{"title":"罗马尼亚的社交媒体和新闻项目的意见挖掘","authors":"Claudia Cardei, Filip Manisor, Traian Rebedea","doi":"10.1109/IcConSCS.2013.6632054","DOIUrl":null,"url":null,"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.","PeriodicalId":265358,"journal":{"name":"2nd International Conference on Systems and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Opinion mining for social media and news items in Romanian\",\"authors\":\"Claudia Cardei, Filip Manisor, Traian Rebedea\",\"doi\":\"10.1109/IcConSCS.2013.6632054\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":265358,\"journal\":{\"name\":\"2nd International Conference on Systems and Computer Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2nd International Conference on Systems and Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IcConSCS.2013.6632054\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2nd International Conference on Systems and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IcConSCS.2013.6632054","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Opinion mining for social media and news items in Romanian
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.
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