TReACLE: a Framework for TwitteR Analysis in a SoCial and Learning Environment

نویسندگان

  • Nicky Danino
  • Gavin Sim
چکیده

Social Media has infiltrated all manner of users, and none more than the current digital native who is studying at university. This has led to the rise in questions of how best to use these computermediated communications in academic settings. Recent research shows that Twitter is very popular amongst students, though little work exists on the impact of Tweeting, and how it can be measured. This paper discusses the current work in progress to develop a framework that offers guidance to codify the connections that students in Higher Education make, using Twitter. Data suggest that it is still too early to determine the success of the framework, nonetheless, the scope for future work points towards many possibilities for full development and application.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

2016 Olympic Games on Twitter: Sentiment Analysis of Sports Fans Tweets using Big Data Framework

Big data analytics is one of the most important subjects in computer science. Today, due to the increasing expansion of Web technology, a large amount of data is available to researchers. Extracting information from these data is one of the requirements for many organizations and business centers. In recent years, the massive amount of Twitter's social networking data has become a platform for ...

متن کامل

A Model for Detecting of Persian Rumors based on the Analysis of Contextual Features in the Content of Social Networks

The rumor is a collective attempt to interpret a vague but attractive situation by using the power of words. Therefore, identifying the rumor language can be helpful in identifying it. The previous research has focused more on the contextual information to reply tweets and less on the content features of the original rumor to address the rumor detection problem. Most of the studies have been in...

متن کامل

A High-Performance Model based on Ensembles for Twitter Sentiment Classification

Background and Objectives: Twitter Sentiment Classification is one of the most popular fields in information retrieval and text mining. Millions of people of the world intensity use social networks like Twitter. It supports users to publish tweets to tell what they are thinking about topics. There are numerous web sites built on the Internet presenting Twitter. The user can enter a sentiment ta...

متن کامل

Design and Test of the Real-time Text mining dashboard for Twitter

One of today's major research trends in the field of information systems is the discovery of implicit knowledge hidden in dataset that is currently being produced at high speed, large volumes and with a wide variety of formats. Data with such features is called big data. Extracting, processing, and visualizing the huge amount of data, today has become one of the concerns of data science scholar...

متن کامل

طراحی چارچوب معماری اطلاعاتی برای به‌کارگیری شبکه‌های اجتماعی در نظام آموزش عالی ایران

Management of social networks, has become a strategic challenge for different applications including education due to its growing importance. Enterprise Architecture (EA), uses a holistic specification of information technology functions in organizations to decrease the complexity of using information technology and to increase its efficiency. As regards, using social networks in education in ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014