Opinion Mining is a recent area of interest for Natural Language (NLP) researchers. Peoples are intended to develop a system that can identify and classify opinion or sentiment as represented in an electronic text. Since previous attempts have defined opinion mining as a few sequence of well known standard mechanisms as: Subjectivity Detection, polarity Detection, Degree of polarity identificat...

In this paper, I argue for a new, theory-neutral approach to polarity effects resting upon the idea that the choice of marker for a given feature specification is determined by the choice of marker for a minimally different specification. In paradigms instantiating polarity effects, the matching of morpho-syntactic and phonological features proceeds by natural class based-rules, but is partly o...

This paper describes our participation at SemEval2014 sentiment analysis task, in both contextual and message polarity classification. Our idea was to compare two different techniques for sentiment analysis. First, a machine learning classifier specifically built for the task using the provided training corpus. On the other hand, a lexicon-based approach using natural language processing techni...

The Fauconnier-Ladusaw analysis of negative polarity licensing (that NPIs are licensed in the scope of downward entailing operators) continues to be the benchmark theory of negative polarity. In this paper, I consider some of the moves that are needed to maintain its basic intuition in some recalcitrant arenas: negative polarity licensing by only, adversatives, superlatives, and conditionals. W...

We consider the problem of tracking the opinion polarity, in terms of positive or negative orientation, expressed in documents written in natural language and extracted from a heterogeneous set of Web sources. More specifically, we focus our attention on the movie reviews domain. We are interested in evaluating the performance obtained by a set of high performance opinion polarity classifiers f...

There is currently no agreement as to how specific or general are the mechanisms underlying newborns' face preferences. We address this issue by manipulating the contrast polarity of schematic and naturalistic face-related images and assessing the preferences of newborns. We find that for both schematic and naturalistic face images, the contrast polarity is important. Newborns did not show a pr...

In this paper, we introduce a connotation lexicon, a new type of lexicon that list words with connotative polarity, i.e., words with positive connotation (e.g., award, promotion) and words with negative connotation (e.g., cancer, war). Connotation lexicons differ from much studied sentiment lexicons: the latter concerns words that express sentiment, while the former concerns words that evoke or...