BUILDING DYNAMIC LEXICONS FOR SENTIMENT ANALYSIS

Building Dynamic Lexicons for Sentiment Analysis

Nowadays, many approaches for Sentiment Analysis (SA) rely on affective lexicons to identify emotions transmitted in opinions.However, most Corn Flour of these lexicons do not consider that a word can express different sentiments in different predication domains, introducing errors in the sentiment inference.Due to this problem, we present a model

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Molecular characterization of the hepatitis B virus in autochthonous and endogenous populations in the Western Brazilian Amazon

INTRODUCTION: Hepatitis B virus (HBV) infection is a serious Pucks public health issue worldwide.Hepatitis B virus is classified into eight genotypes, varying from A to H, with distinct geographical distributions.In Brazil, the most frequent genotypes are A, D, and F.METHODS: This study aimed to characterize the HBV genotypes in cases of hepatitis

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Finite State Machine-Based Motion-Free Learning of Biped Walking

Recently, deep reinforcement learning (DRL) is commonly used to create controllers for physically simulated characters.Among DRL-based approaches, imitation learning for character control using motion capture clips as tracking references has shown successful results in controlling various motor skills with natural movement.However, the Jersey outpu

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MATHEMATICAL SUBSTANTIATION OF THE USE OF DIFFERENT TYPES OF CLAMMERS DURING THE RESTORATION OF THE DENTITION WITH DOUBLE-SIDED DISTAL DEFECTS AND THE DEFECT INCLUDED IN THE FRONTAL AREA BY REMOVABLE PROSTHETICS

The basic conditions that ensure good functional qualities and durability of prosthetic structures from the point of view of biomechanics, undoubtedly include an optimal way of fixing a partial removable prosthesis, which consists in the correct choice of the clamping system that ensures reliable fixation of the prosthesis in the given position and

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