The present study aimed at providing a typology of Iranian supervisors’ written feedback on L2 graduate students’ theses/dissertations and examining the way different speech functions are employed to put the supervisors’ thoughts and feelings into words. In so doing, a corpus of comments, including 15,198 comments provided on 87 TEFL theses and dissertations by 30 supervisors were analyzed. We ...

Social media is currently one of the primary platforms for spreading information about organizations or companies, including universities. To reach more users, we need to analyze user engagement. Topic essential feature attract interest on a post. Therefore, by understanding topic preference, can increase In this study, identify posts using Latent Dirichlet Algorithm (LDA) method. Furthermore, ...

This paper focuses on the evaluation of quality perceptions from users of an electronic government website. As government organizations have begun to enhance transparency, communicate and interact with citizens via the Web, developing appropriate online services has demanded heightened understanding of the requirements of users and appropriate tailoring of solutions. The site examined in the pa...

Abstract The objective of this study is to analyze the relationship between views (popularity) and social interaction generated by YouTuber videos in Spanish. A quali-quantitative analysis conducted on a sample 100 videos, 10 YouTube channels, 997 minutes video, with 116,934,321 views, 12,297,021 likes/dislikes, 1,041,191 comments YT, 306,000 retweets/favorites TW 140,852 comments, shares, reac...

Aggressive communicators take opportunities to attack the self-concept of others on Twitter. Among other Twitter users, public figures tend receive more verbally aggressive comments. This study identified forms verbal aggressiveness contained in tweeps’ comments and analyzed underlying rationales tweeps express such behavior. From 120 analyzed, character was found 10 (8.3 %), competence 3 (2.5 ...

Social media aggregate people around common interests eliciting collective framing of narratives and worldviews. However, in such a disintermediated environment misinformation is pervasive and attempts to debunk are often undertaken to contrast this trend. In this work, we examine the effectiveness of debunking on Facebook through a quantitative analysis of 54 million users over a time span of ...

Ara?t?rman?n amac?, TripAdvisor kullan?c?lar?n?n Türkçe ve ?ngilizce yorumlar?ndaki duygusal e?ilimlerin ortaya ç?kar?lmas? s?n?fland?r?lmas?nda kullan?lan duygu analizi yöntemlerini kar??la?t?rmakt?r. Amaç kapsam?nda makine ö?renme yöntemlerinden Decision Tree, Random Forest gibi s?n?fland?rma algoritmalar? kullan?lm??t?r. Nicel ara?t?rma özelli?i gösteren bu çal??ma veriler, turizm portal?nda...

The social networking era has left us with little privacy. The details of the social network users are published on Social Networking sites. Vulnerability has reached new heights due to the overpowering effects of social networking. The sites like Facebook, Twitter are having a huge set of users who publish their files, comments, messages in other users walls. These messages and comments could ...

In recent years, adverse drug reactions have drawn more and more attention from the public, which may lead to great damage to the public health and cause massive economic losses to our society. As a result, it becomes a great challenge to detect the potential adverse drug reactions before and after putting drugs into the market. With the development of the Internet, healthrelated social network...