The explosion in user-generated content (on the Social Web) published from mobile devices has seen microblog platforms like Twitter grow exponentially. Twitter is a microblogging platform founded in 2006, which by October 2010 had roughly 175m users and as of June 2011, Twitter processed 200m posts per day. Twitter data has been utilised to predict/report natural disasters, civil unrest, and me...

In a separate study, we were interested in understanding people’s Q&A habits on Twitter. Finding questions within Twitter turned out to be a difficult challenge, so we considered applying some traditional NLP approaches to the problem. On the one hand, Twitter is full of idiosyncrasies, which make processing it difficult. On the other it is very restricted in length and tends to employ simple s...

The explosion in user-generated content (on the Social Web) published from mobile devices has seen microblog platforms like Twitter grow exponentially. Twitter is a microblogging platform founded in 2006, which by October 2010 had roughly 175m users and as of June 2011, Twitter processed 200m posts per day. Twitter data has been utilised to predict/report natural disasters, civil unrest, and me...

This paper seeks to explore the key affordances influencing patients’ engagement with online communities on Twitter. Drawing on a socio-technical perspective of affordances, the paper presents the qualitative analysis of a sample of tweets from a patients’ community chat on Twitter. The paper makes the following contributions. First, it draws on the concept of composite affordances to show the ...

This work reviews recent publications addressing the Twitter translation task, and highlights the lack of appropriate corpora that represents the colloquial language used in Twitter. It also discusses the most well-know issues in the Twitter genre: the use of hashtags and the amount of OOVs, with especial focus in comparing the differences between formal and colloquial texts. Resumen: Este trab...

Affective computing is the calculation about sentiment, sentiment generated and the aspects of affecting the sentiment. However, the different factors often cause the uncertainty of sentiment expression of the users. Today twitter as the information media of real-time and timely has become better sentiment expression vector for users themselves. Therefore, in allusion to the diversity of sentim...

Twitter has become one of the quintessential social media platforms for user-generated content. Researchers and industry practitioners are increasingly interested in Twitter sentiments. Consequently, an array of commercial and freely available Twitter sentiment analysis tools have emerged, though it remains unclear how well these tools really work. This study presents the findings of a detailed...

TWITTER, a popular microblogging service, an important characteristic of Twitter is its real-time nature. We analyze the real-time interaction of events such as earthquakes in Twitter and propose an algorithm to monitor tweets and to detect a target event. To detect a target event, we devise a classifier of tweets based on features such as the keywords in a tweet, the number of words, and their...

Twitter is the second largest social network after Facebook and currently 140 millions Tweets are posted on average each day. Tweets are messages with a maximum number of 140 characters and cover all imaginable stories ranging from simple activity updates over news coverage to opinions on arbitrary topics. In this work we argue that Twitter is a valuable data source for e-Participation related ...

Twitter is often considered to be a useful source of real-time news, potentially replacing newswire for this purpose. But is this true? In this paper, we examine the extent to which news reporting in newswire and Twitter overlap and whether Twitter often reports news faster than traditional newswire providers. In particular, we analyse 77 days worth of tweet and newswire articles with respect t...