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However, when researchers annotate the polarity of words or expressions from a corpus, a well-defined sentiment framework that defines the types of sentiments and other related issues can help them make a decision quickly and clearly.
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In the following, we will introduce some sentiment frameworks briefly and offer a simple and practical criterion for Chinese sentiment annotation.
The framework proposed in this paper was also heavily affected by Ortony et al.'s sentiment model.
Namely, Ortony et al. (1987) offered only a general framework for sentiments, which greatly affected many works on sentiment analysis, such as WordNet-Affect (Strapparava and Valitutti 2004).
"Should debt sustainability concerns prove to be weighing on investor sentiment even with the framework for debt relief now in place, European partners should consider providing relief that would entail a faster reduction in debt than currently programmed".
(1997), Fama–French factors (Fama and French (2015)), liquidity factors (e.g., that of Pástor and Stambaugh (2003)), or volatility innovations (Ang et al. (2006)).16 Another area for future research is the incorporation into the proposed framework of sentiment measures other than the ones used in this study.
Our framework leverages several sentiment extraction techniques to generate various sentiment features, including happiness score [38], arousal, valence and dominance scores [39], polarization and strength [40], and emotion score [41] (cf. Table 2).
To make this content accessible, we present SentiBank, a framework for visual sentiment analysis consisting of 1,500 adjective-noun pair (ANP) classifiers trained from Caffe's deep learning features.
This paper propose a practical framework in determining sentiment analysis of name entities.
Pero and Horváth [9] proposed a framework that uses sentiment analysis to produce text-based ratings which are processed in conjunction with traditional ratings on a matrix factorization algorithm.
While there already have been numerous studies trying to exploit this information, primarily by forecasting either returns or volatility and subsequently using suitable trading strategies or by employing nonparametric long short portfolio approaches, there are no studies which integrate sentiment into a portfolio optimization framework.
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