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Opinion Mining in Persian Language | ||
| Journal of Information Technology Management | ||
| مقاله 8، دوره 7، شماره 2، مهر 2015، صفحه 345-362 اصل مقاله (388.31 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jitm.2015.53995 | ||
| نویسندگان | ||
| Saeedeh Alimardani* 1؛ Abdollah Aghaie2 | ||
| 1MSc. student in Information Technology, Faculty of Industrial Engineering, K.N.Toosi University of Technology, Iran | ||
| 2Prof., Faculty of Industrial Engineering, K.N.Toosi University of Technology, Iran | ||
| چکیده | ||
| Rapid growth of networks and social networks results in more access to people’s opinion. These opinions contain useful information. By analyzing these opinions, people’s preferences and their positive and negative opinions about different subjects can be identified. Opinion mining is the process of analyzing people’s emotions, feelings and opinions to identify their preferences. In this article, a method for opinion mining in Persian language is introduced that is a combination of SVM and lexicon as a set of features. The lexicon is created by using SentiWordNet. To assess the algorithm, data of hotel domain is collected. Four cases were defined and among those cases, the case in which frequency of word multiplies with its orientation got the best result. The proposed method performs better compared to other methods in Persian opinion mining. | ||
| کلیدواژه‌ها | ||
| Lexicon؛ Opinion mining؛ orientation؛ Support vector Machine | ||
| عنوان مقاله [English] | ||
| ارائۀ روش نظارتی برای نظرکاوی در زبان فارسی با استفاده از لغت‌نامه و الگوریتم SVM | ||
| نویسندگان [English] | ||
| سعیده علی مردانی1؛ عبدالله آقایی2 | ||
| 1دانشجوی کارشناسی ارشد فناوری اطلاعات، دانشگاه صنعتی خواجه نصیرالدین طوسی، تهران، ایران | ||
| 2استاد گروه برنامهریزی و تحلیل سیستمها، دانشگاه صنعتی خواجه نصیرالدین طوسی، تهران، ایران | ||
| چکیده [English] | ||
| بهسبب رشد سریع شبکه‌ها و رسانه‌های اجتماعی، امکان دسترسی افراد به نظرهای دیگران افزایش یافته است. نظرها، حاوی اطلاعات ارزشمندیاند که با تحلیل آنها، می‌توان به گرایشها و ترجیح افراد پی برد و نظرهای مثبت و منفی را نسبت به مسائل گوناگون، شناسایی کرد. نظرکاوی فرایندی است که به تحلیل عاطفهها، احساسها و نظرهای افراد می‌پردازد و از این طریق، اولویت افراد را شناسایی می‌کند. در این مقاله، روشی برای نظرکاوی در زبان فارسی ارائه شده است که از ترکیب لغت‌نامه و الگوریتم نظارتی ماشین بردار پشتیبان (SVM) استفاده می‌کند. برای ایجاد لغت‌نامه، از لغت‌نامۀ SentiWordNet بهره برده شده است. در واقع این لغت‌نامه، مجموعۀ ویژگیهای الگوریتم SVM است. برای ارزیابی نتایج، از داده‌های دامنۀ هتل استفاده شد. چهار فرضیه برای دستیابی به بهترین نتیجه تعریف شد که از این بین، بیشترین درستی، به فرضیۀ حاصل‌ضرب قطبیت در تعداد تکرار کلمهها اختصاص یافت. | ||
| کلیدواژه‌ها [English] | ||
| قطبیت, لغت‌نامه, ماشین بردار پشتیبان, نظرکاوی | ||
| مراجع | ||
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