Subjectivity tagging is a prior step for sentiment annotation. Both machine learning based
approaches and linguistic knowledge based ones profit from using subjectivity lexicons …

While there are a number of subjectivity lexicons available for research purposes, none can
be used commercially. We describe the process of constructing subjectivity lexicon (s) for …

Many methods have been developed which are currently being used to implement
sentiment analysis. One of the most commonly-used method for classification purposes is …

This paper introduces a method for creating a subjectivity lexicon for languages with scarce
resources. The method is able to build a subjectivity lexicon by using a small seed set of …

Sentiment analysis aims to recognize subjectivity expressed in natural language texts.
Subjectivity analysis tries to answer if the text unit is subjective or objective, while polarity …

In this paper, we introduce a new set of lexicons for expressing subjectivity in text documents
written in Brazilian Portuguese. Besides the non-English idiom, in contrast to other …

We demonstrate a method of improving a seed sentiment lexicon developed on essay data
by using a pivot-based paraphrasing system for lexical expansion coupled with sentiment …

This work presents a novel approach for automatic creation of sentiment word lists. In this
approach, words are first mapped into a continuous latent space, which serves as input to a …

Sentiment analysis has become an actively researched area recently, which aims to detect
positive and negative opinions in texts. A good indicator for the polarity of a given text is the …

Subjectivity in natural language refers to aspects of language used to express opinions,
evaluations, and speculations. There are numerous natural language processing …