The main focus of this paper is to investigate methods for opinion extraction at a more detailed level of granularity, retrieving not only the opinionated portion of text, but also the target of that expressed opinion. We describe a novel approach to fine-grained opinion mining that, after an initial lexicon based processing step, treats the problem of finding the opinion expressed towards an e...

Use and opinion of herbs among medical students of Imo State University Nigeria was assessed. Information on herb use, indication and opinion from returned self-administered questionnaire was analyzed. A total of 114 students (91.2%) of 125 responded. 32 (28.1%) students had used herbs before, a significant proportion being males (OR 3.7). Herbal tea was the most popular herb used; maintaining ...

INTRODUCTION The efficiency of postoperative handover of paediatric patients to the children's intensive care unit (CICU) varies according to institutions, clinical setup and workflow. Reorganisation of handover flow based on findings from observational studies has been shown to improve the efficiency of information transfer. This study aimed to evaluate a new handover process based on recipien...

The task of opinion mining from product reviews is to extract the product entities, opinions on the entities and determine whether the opinions are positive, negative or neutral. Reasonable performance on this task has been achieved by employing rule-based, statistical approaches or generative learning models such as hidden Markov model (HMMs). In this paper, we proposed a discriminative model ...

We describe an opinion analysis system developed for Multilingual Opinion Analysis Task at NTCIR7. Given a topic and relevant newspaper articles, our system determines whether a sentence in the articles carries an opinion, if so, then extract the polarity and holder of the opinion. Our system uses subjectivity lexicons to score the sentiment weight of a word, in addition with a weight that refl...

Opinion dynamics, aiming at describing the evolution of opinions among large populations with social influence, have been widely inspected and a host of models have been reported. However, most of them are considered on cooperative networks which is not the common case because there exist not only cooperative but also antagonistic or competitive relations, e.g., competition between commercial, ...

The Swedish IT User Centre, Nita, has been created to bridge the gap between academia, government and industry in communicating research results and elicit problem areas. During its first year Nita has proved to be an important opinion making and networking organisation. Nita has achieved to activate the discussion on the field of IT-use and IT users among a large amount of stakeholders.

In recent years, sentiment analysis and opinion mining has grown to be one of the most active research areas. Most of the existing researches on feature-level opinion mining are dedicated to extract explicitly appeared features and opinion words. However, among the numerous kinds of reviews on the web, there are a significant number of reviews that contain only opinion words which imply some pr...

Opinion competition is a common phenomenon in real life, such as with opinions on controversial issues or political candidates; however, modelling this competition remains largely unexplored. To bridge this gap, we propose a model of competing opinion diffusion on social networks taking into account degree-dependent fitness or persuasiveness. We study the combined influence of social networks, ...