Social media postings are rich in information that often remain hidden and inaccessible for automatic extraction due to inherent limitations of the site's APIs, which mostly limit access via specific keyword-based searches (and limit both the number of keywords and the number of postings that are returned). When mining social media for drug mentions, one of the first problems to solve is how to...

Millions of users are posting their status updates, interesting findings, news, ideas and observations in real-time on microblogging services such as Twitter, Jaiku and Plurk. This real-time Web can be a great resource of valuable timely information. Since the real-time Web is completely open and decentralized and anyone may post information at whim, distinguishing interesting and popular posti...

•Job titles follow conventions and can be normalized to reduce variation•We curated a list of 775 skills estimated their probability by occupation•Skill probabilities are consistent with the hierarchy occupational codes•Job posting counts an imperfect proxy for job openings reported in survey data Online postings offer abundant detailed view occupations labor market. However, variation how empl...

To gain greater insight into the operation of online social networks, we applied Natural Language Processing (NLP) techniques to text-based communication to identify and describe underlying social structures in online communities. This paper presents our approach and preliminary evaluation for content-based, automated discovery of social networks. Our research question is: What syntactic and se...

Introduction. This paper investigates the strategies that people employ to solicit and provide informational and emotional support in the blogosphere. Method. A sample of eight Finnish blogs on dietary issues was selected for the study. The data contain 489 postings and 1,117 comments submitted to the discussion areas in 2009. Descriptive statistics was used to calculate the percentage distribu...

Static index pruning methods have been proposed to reduce size of the inverted index of information retrieval systems. The goal is to increase efficiency (in terms of query response time) while preserving effectiveness (in terms of ranking quality). Current state-of-the-art approaches include the term-centric pruning approach and the document-centric pruning approach. While the term-centric pru...

Australia's rural hospitals face most of the same issues and challenges faced by metropolitan hospitals. However they also face additional challenges around geographic isolation, their iconic status and role as major employers in local communities, and their close relationship with community based health services. Future opportunities include more formal integration with community service throu...

In this paper, we focus on the problem of extracting structured labeled data from short unstructured adpostings from online sources like Craigslist, where ads are posted on various topics, such as job postings, rentals, car sales etc. A fundamental challenge in addressing this problem is that most ad-postings are highly unstructured, short-text postings written in an informal manner with no inh...

The rapid growth of online investing and virtual investing-related communities (VICs) has a wide-raging impact on research, practice and policy. Given the enormous volume of postings on VICs, automated classification of messages to extract relevance is critical. Classification is complicated by three factors: (a) the amount of irrelevant messages or "noise" messages (e.g., spam, insults), (b) t...

Researching second screen interactions that form a social soundtrack concerning a major broadcast media event, we perform statistical analysis on more than 800 K postings and 50 K blogs of Super Bowl XLIX on Instagram and Tumblr respectively for three categories (commercials, music and game) during three phrases (Pre, During, and Post) identifying the influence of different social soundtrack fe...