با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
دسته بندی:
شبکه های اجتماعی - Social Networks
سال انتشار:
2018
عنوان انگلیسی مقاله:
Combining different evaluation systems on social media for measuring user satisfaction
ترجمه فارسی عنوان مقاله:
ترکیب کردن سیستمهای مختلف ارزیابی روی رسانه های اجتماعی برای سنجش رضایت کاربر
منبع:
sciencedirect-elsevier-Information Processing & Management-Volume 54, Issue 4, July 2018, Pages 674-685
نویسنده:
Simona Balbi, Michelangelo Misuraca, Germana Scepi
چکیده انگلیسی:
Web 2.0 allows people to express and share their opinions about products and services they buy/use. These opinions can be expressed in various ways: numbers, texts, emoticons, pictures, videos, audios, and so on. There has been great interest in the strategies for extracting, organising and analysing this kind of information. In a social media mining framework, in particular, the use of textual data has been explored in depth and still represents a challenge. On a rating and review website, user satisfaction can be detected both from a rating scale and from the written text. However, in common practice, there is a lack of algorithms able to combine judgments provided with both comments and scores. In this paper we propose a strategy to jointly measure the user evaluations obtained from the two systems. Text polarity is detected with a sentiment-based approach, and then combined with the associated rating score. The new rating scale has a finer granularity. Moreover, also enables the reviews to be ranked. We show the effectiveness of our proposal by analysing a set of reviews about the Uffizi Gallery in Florence (Italy) published on TripAdvisor.
keywords: Social media| Sentiment analysis| Rating|Knowledge management
قیمت: رایگان
توضیحات اضافی: نظر
تعداد نظرات : 0