Abstract
In the latest studies concerning the sentiment polarity of words, the authors mostly consider the positive and negative constructions, without paying too much attention to the neutral words, which can have, in fact, significant sentiment degrees. More precisely, not all the neutral words have zero positivity or negativity scores, some of them having quite important nonzero scores for these polarities. At this moment, in the literature, a word is considered neutral if its positive and negative scores are equal, which implies two possibilities: (1) zero positive and negative scores; (2) nonzero, but equal positive and negative scores. It is obvious that these cases represent two different categories of neutral words that must be treated separately by a sentiment analysis task. In this paper, we present a comprehensive study about the neutral words applied to English as is developed with the aid of SentiWordNet 3.0: the publicly available lexical resource for opinion mining. We designed our study in order to provide an accurate classification of the so-called “neutral words” described in terms of sentiment scores and using measures from neutrosophy theory. The intended scope is to fill the gap concerning the neutrality aspect by giving precise measurements for the words’ objectivity.
Highlights
Emotion is the root of any social dialogue
This paper addresses the problem of objectivity degrees of neutral words by applying the neutrosophic theory on the words’ sentiment scores
The mechanism is formalized with the help of neutrosophic functions, which are used for measuring the objectivity degrees of the words based on their sentiment scores
Summary
From the natural language processing (NLP) point of view, words are the root for emotion detection by some special constructions used in each language in order to describe feelings This polarity is usually considered as having three possible values: positive, negative or neutral. This paper addresses the problem of objectivity degrees of neutral words by applying the neutrosophic theory on the words’ sentiment scores In this approach, a word w is considered as a single-valued neutrosophic set [20] being represented by its three sentiment scores. The mechanism is formalized with the help of neutrosophic functions, which are used for measuring the objectivity degrees of the words based on their sentiment scores This is a word-level study in which words are considered as single entities. The last section summarizes the conclusions of the proposed mechanism and our future studies’ goals
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