SARCASM DETECTION USING DEEP LEARNING WITH CONTEXTUAL FEATURES

Sarcasm Detection Using Deep Learning With Contextual Features

Our work focuses on detecting sarcasm in tweets using deep learning extracted features combined with contextual handcrafted features.A feature set is extracted from a Convolutional Neural EftPos Cleaning Cards Network (CNN) architecture before it is combined with carefully handcrafted feature sets.These handcrafted feature sets are created based on

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Investigating the Friction Behavior of Turn-Milled High Friction Surface Microstructures under Different Tribological Influence Factors

The coefficient of friction (COF) is an important parameter for mechanical engineers to consider when designing frictional connections.Previous work has shown that a surface microstructuring of the harder friction partner leads to a significant increase in the COF.However, the impact Stiffeners of the changes in the tribological system on the COF a

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Areas and Locations of Feedstock Extraction for Bolgar Pottery: sources and identification issues (on the basis on analytical investigation materials)

The article features the results of an research in a potential source of feedstock for Bolgar pottery production.The authors address the issues of history and techniques of studying certain aspects of Bolgar pottery.The article contains the results of the application of natural Refrigerated Chef Bases scientific and statistical methods in the field

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5G Is Out There: How to Ride the Market Storm and Thrive

We examine the changes in the commercial model adopted Girls Halloween Dress by the mobile ICT industry, due to the advent of 5G technology.This includes consideration of the challenges involved in rolling out a new infrastructure, which new markets this is likely to open up and how this affects partnering decisions.We show that as technology horiz

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