Sentiment Analysis using an ensemble of Feature Selection Algorithms

To determine the opinion of any person experiencing any services or buying any product, the usage of Sentiment Analysis, a continuous research in the field of text mining, is a common practice. It is a process of using computation to identify and categorize opinions expressed in a piece of text. Individuals post their opinion via reviews, tweets, comments or discussions which is our unstructured information. Sentiment analysis gives a general conclusion of audits which benefit clients, individuals or organizations for decision making. The primary point of this paper is to perform an ensemble approach on feature reduction methods identified with natural language processing and performing the analysis based on the results. An ensemble approach is a process of combining two or more methodologies. The feature reduction methods used are Principal Component Analysis (PCA) for feature extraction and Pearson Chi squared statistical test for feature selection. The fundamental commitment of this paper is to experiment whether combined use of cautious feature determination and existing classification methodologies can yield better accuracy

Character analysis of oral activity: contact profiling

The article presents the results of our observations on syntactic, semantic and plot peculiarities of oral language activity, we find it justified to consider the above mentioned parameters as identification criteria for discovering characterological differences of Ukrainian-speaking and Russian-speaking objects of contact profiling. It describes the connection between mechanisms of psychological defenses as the character structural components, and agentive and non-agentive speech constructions, internal and external predicates. Localized and described plots of oral narratives inherent to representatives of different character types

Non-verbal episodic memory deficits in primary progressive aphasias are highly predictive of underlying amyloid pathology

Diagnostic distinction of primary progressive aphasias (PPA) remains challenging, in particular for the logopenic (lvPPA) and nonfluent/agrammatic (naPPA) variants. Recent findings highlight that episodic memory deficits appear to discriminate these PPA variants from each other, as only lvPPA perform poorly on these tasks while having underlying amyloid pathology similar to that seen in amnestic dementias like Alzheimer’s disease (AD). Most memory tests are, however, language based and thus potentially confounded by the prevalent language deficits in PPA. The current study investigated this issue across PPA variants by contrasting verbal and non-verbal episodic memory measures while controlling for their performance on a language subtest of a general cognitive screen. A total of 203 participants were included (25 lvPPA; 29 naPPA; 59 AD; 90 controls) and underwent extensive verbal and non-verbal episodic memory testing, with a subset of patients (n = 45) with confirmed amyloid profiles as assessed by Pittsburgh Compound B and PET. The most powerful discriminator between naPPA and lvPPA patients was a non-verbal recall measure (Rey Complex Figure delayed recall), with 81% of PPA patients classified correctly at presentation. Importantly, AD and lvPPA patients performed comparably on this measure, further highlighting the importance of underlying amyloid pathology in episodic memory profiles. The findings demonstrate that non-verbal recall emerges as the best discriminator of lvPPA and naPPA when controlling for language deficits in high load amyloid PPA cases

A CONCEPT OF GENERAL MEANING: SELECTED THEORIES IN COMPARISON TO SELECTED SEMANTIC AND PRAGMATIC THEORIES

The paper discusses a concept of general meaning with reference to various relevant semantic and pragmatic theories. It includes references to Slavic axiological semantics (e.g. Krzeszowski (1997); Puzynina (1992)), Wierzbicka’s (e.g. 1980, 1987) atomic expressions and classical pragmatics theories, such as speech acts, Gricean theory of conversational implicature, politeness theory and and relevance theory