This paper explores the long-standing empirical fact of increased trading volume around news releases through the lens of canonical models of gradual information diffusion and differences of opinion. I use a unique dataset of clicks on news by key finance professionals to distinguish between trading among investors who see the news at different times and trading among investors who see the same...

These articles present unique innovative research, computational methods, and selected results and examples. In “Sentiment Quantifi cation,” Andrea Esuli and Fabrizio Sebastiani argue that the opinionmining community has traditionally neglected whether the analysis of large quantities of text should be carried out at the individual or aggregate level. They review several sentimentquantifi catio...

This research examined the content of articles about Brazil in The New York Times and El País and the correlation between news coverage and students’ knowledge and opinion levels on current events in Brazil. Content analysis revealed that American news coverage of Brazil in The New York Times had more depth and breadth than Spanish coverage in El País. Questionnaires distributed to University o...

We performed two experiments with statistical techniques for classifying documents by date and author, using large bodies of publicly-available texts. In one experiment, we produced a Markov chain of every United States Supreme Court opinion ever written, and evaluated its ability to classify American judicial opinions by decade of authorship. In the other, we examined the performance of two se...

User-contributed content represents a valuable information source provided one can make sense of the large amounts of unstructured data. This work focusses on geospatial content and specifically on travelblogs. Users writing stories about their trips and related experiences effectively provide geospatial information albeit in narrative form. Identifying this geospatial aspect of the texts by me...

Existing work in fine-grained sentiment analysis focuses on sentences and phrases but ignores the contribution of individual words and their grammatical connections. This is because of a lack of both (1) annotated data at the word level and (2) algorithms that can leverage syntactic information in a principled way. We address the first need by annotating articles from the information technology...

The University of California Santa Cruz team submitted three runs for the TREC Blog Track opinion mining task. We developed a two stage retrieval system. We started with retrieving relevant documents from the corpus for each topic, and then ran each retrieved document through a classifier to estimate the probability that the document contains opinion expressions. The documents were ranked accor...

BACKGROUND Sever's disease is typical of many musculoskeletal conditions where observational annotations have slowly been accepted as fact with the passing of years. Acceptance of these nontested observations means that health professionals seeking information on this condition access very low-level evidence, mainly being respectable opinion or poorly conducted retrospective case series. METH...

Health disparities (HD) continue to persist in the United States which underscores the importance of using low-cost, accessible, evidence-based strategies that can improve health outcomes, especially for chronic conditions that are prevalent among underserved minority populations. Complementary/integrative health modalities, particularly self-administered mind-body practices (MBP), can be extre...

......................................................................................................... 4 1. BACKGROUND .................................................................................................. 8 2. TERMS OF REFERENCE ...................................................................................... 9 3. GUIDANCE ON SAFETY EVALUATION OF NANOMATERIALS USED IN MEDIC...