In this paper, we describe our submission to the TREC 2011 Microblog track. We first use URLs as a clue to discover and remove the spam tweets. Then we use both Lucene and Indri to generate a ranked list of results for each query, together with their relevance scores. After that, we use the scores to find out useful hashtags relevant to the query, therefore some previously lower-ranked tweets c...

Abstract Investigating the micro-linguistic patterns of discourse internet helps in understanding how users employ certain linguistic conventions to deliver their messages. However, no research has been conducted analyze Twitter hashtag campaigning as a distinctive genre with definite features (i.e., morphological and syntactic levels). Thus, it was significant investigate this enables enhance...

Today streaming text mining plays an important role within real-time social media mining. Given the amount and cadence of the data generated by those platforms, classical text mining techniques are not suitable to deal with such new mining challenges. Event detection is no exception, available algorithms rely on text mining techniques applied to pre-known datasets processed with no restrictions...

Twitter is an on-line social networking service which enables users to communicate by sending and reading up to 140 characters short text called ”tweets”. Users can attach any hashtag, starting with an ”#”, to tweets to indicate additional or summary information. tweets with explicit or implicit spatial intent can be classified as spatial tweets. Spatial tweets are commonly seen in practice, an...

We present an extension of the Dynamics Based Control (DBC) paradigm to environment models based on Predictive State Representations (PSRs). We show an approximate greedy version of the DBC for PSR model, EMT-PSR, and demonstrate how this algorithm can be applied to solve several control problems. We then provide some classifications and requirements of PSR environment models that are necessary...

Building on recent work analyzing online content to identify accessibility trends and challenges, this poster paper presents preliminary analysis of one month of tweets using the #a11y hashtag. Our analysis of ~4000 tweets suggests that the most active users of this hashtag are accessibility professionals, with less representation from end users in creating new tweets. By far the most common me...

The debates on minority issues are often dominated by or held among the concerned minorities: gender equality debates have often failed to engage men, while those about race fail to engage the dominant group. To test this observation, we study the #BlackLivesMatter movement and hashtag on Twitter—that has emerged and gained traction after a series of events typically involving the death of Afri...

We annotate individual posts following the approach in [1], [2]. Tweets are grouped by topic based on included topic hashtags. For example, tweets relating to the topic of president Barack Obama contain the hashtag #obama within them. The topic-related tweets often contain other hashtags which we assign a preliminary sentiment probability (positive and negative) using the Multinomial Naive Baye...

In this paper, we conduct a study about differences between female and male discursive strategies when posting in the microblogging service Twitter, with a particular focus on the hashtag designation process during political debate. The fact that men and women use language in distinct ways, reverberating practices linked to their expected roles in the social groups, is a linguistic phenomenon k...