Sentiment analysis is a growing area of research with significant applications in both
industry and academia. Most of the proposed solutions are centered around supervised …

Opinion mining is one of the most challenging tasks of the field of information retrieval.
Research community has been publishing a number of articles on this topic but a significant …

The TREC Blog track aims to explore information seeking behaviour in the blogosphere, by
building reusable test collections for blog-related search tasks. Since, its advent in TREC …

Blog post opinion retrieval aims at finding blog posts that are relevant and opinionated about
a user's query. In this paper we propose a simple probabilistic model for assigning relevant …

In this paper we describe our work in the area of topic-based sentiment analysis in the
domain of financial blogs. We explore the use of paragraph-level and document-level …

Sentiment analysis tools often rely on counts of sentiment-carrying words, ignoring structural
aspects of content. Natural Language Processing has been fruitfully exploited in text mining …

Opinion retrieval deals with discovery and retrieval of content, primarily from social media,
that is relevant to the user's information needs and contains opinions that pertain to them. It …

Polarity estimation in large-scale and multi-topic domains is a difficult issue. Most state-of-
the-art solutions essentially rely on frequencies of sentiment-carrying words (eg, taken from …

This study addresses the problem of Chinese microblog opinion retrieval, which aims to
retrieve opinionated Chinese microblog posts relevant to a target specified by a user query …

We present a novel framework for uncertain data management. We start with a database
whose tuple correctness is uncertain and an oracle that can resolve the uncertainty, ie …