Document-level sentiment analysis can benefit from fine-grained subjectivity, so that sentiment polarity judgments are based on the relevant parts of the document. While finegrained subjectivity annotations are rarely available, encouraging results have been obtained by modeling subjectivity as a latent variable. However, latent variable models fail to capitalize on our linguistic knowledge abo...

Subjectivity analysis has been actively used in various applications such as opinion mining of customer reviews in online review sites, question-answering in CQA sites, multi-document summarization, etc. However, there has been very little focus on subjectivity analysis in the domain of online forums. Online forums contain huge amounts of user-generated data in the form of discussions between f...

In this paper we propose a method to build fine-grained subjectivity lexicons including nouns, verbs and adjectives. The method, which is applied for Dutch, is based on the comparison of word frequencies of three corpora: Wikipedia, News and News comments. Comparison of the corpora is carried out with two measures: log-likelihood ratio and a percentage difference calculation. The first step of ...

Subjective behavior is essential for applications that must adapt their behavior to changing circumstances. Many different solutions have been proposed in the past, based, for example, on perspectives, roles, contextual layers, and “force trees”. Although these approaches are somehow equally expressive, each imposes a particular world view which may not be appropriate for all applications. We p...

The so-called subjectivity of conscious experience is central to much recent work in the philosophy of mind. Subjectivity is the alleged property of consciousness whereby one can know what it is like to have certain conscious states only if one has undergone such states oneself. I review neurophilosophical work on consciousness and concepts pertinent to this claim and argue that subjectivity el...

In this work, we present a sentence-level subjectivity detection method, which relies on Subjectivity Word Sense Disambiguation (SWSD). We use an unsupervised sense clustering-based method for SWSD. In our method, semantic resources tagged with emotions and sentiment polarities are used to apply subjectivity detection, intervening Word Sense Disambiguation sub-tasks. Through an experimental stu...

Subjectivity and meaning are both important properties of language. This paper explores their interaction, and brings empirical evidence in support of the hypotheses that (1) subjectivity is a property that can be associated with word senses, and (2) word sense disambiguation can directly benefit from subjectivity annotations.

Subjectivity is essential to consciousness. But though subjectivity is necessary for consciousness it is not sufficient. In part one I derive a distinction between conscious awareness and unconscious subjectivity from a critique of Block’s (1995) distinction between access and phenomenal consciousness. In part two I contrast two historically influential models of unconscious thought: cognitive ...