RED: A Novel Dataset for Romanian Emotion Detection from Tweets

In Romanian language there are some resources for automatic text comprehension, but for Emotion Detection, not lexicon-based, there are none. To cover this gap, we extracted data from Twitter and created the first dataset containing tweets annotated with five types of emotions: joy, fear, sadness, anger and neutral, with the intent of being used for opinion mining and analysis tasks. In this article we present some features of our novel dataset, and create a benchmark to achieve the first supervised machine learning model for automatic Emotion Detection in Romanian short texts. We investigate the performance of four classical machine learning models: Multinomial Naive Bayes, Logistic Regression, Support Vector Classification and Linear Support Vector Classification. We also investigate more modern approaches like fastText, which makes use of subword information. Lastly, we fine-tune the Romanian BERT for text classification and our experiments show that the BERT-based model has the best performance for the task of Emotion Detection from Romanian tweets. Keywords: Emotion Detection, Twitter, Romanian, Supervised Machine Learning

Should Semantic Vector Composition be Explicit? Can it be Linear?

Vector representations have become a central element in semantic language modelling, leading to mathematical overlaps with many fields including quantum theory. Compositionality is a core goal for such representations: given representations for wet' and fish', how should the concept wet fish' be represented? This position paper surveys this question from two points of view. The first considers the question of whether an explicit mathematical representation can be successful using only tools from within linear algebra, or whether other mathematical tools are needed. The second considers whether semantic vector composition should be explicitly described mathematically, or whether it can be a model-internal side-effect of training a neural network. A third and newer question is whether a compositional model can be implemented on a quantum computer. Given the fundamentally linear nature of quantum mechanics, we propose that these questions are related, and that this survey may help to highlight candidate operations for future quantum implementation.

Learning about Word Vector Representations and Deep Learning through Implementing Word2vec

Word vector representations are an essential part of an NLP curriculum. Here, we describe a homework that has students implement a popular method for learning word vectors, word2vec. Students implement the core parts of the method, including text preprocessing, negative sampling, and gradient descent. Starter code provides guidance and handles basic operations, which allows students to focus on the conceptually challenging aspects. After generating their vectors, students evaluate them using qualitative and quantitative tests.

تحضیر و توصیف مادة لفح حراري شفافة راداریا

Modified resole resin/short silica fiber composite materials have been prepared. The resole resin was synthesized and then blended with Polyvinylbutyral (PVB) polymer with different weight ratios to reduce its brittleness. The mechanical, thermal and physical properties of Resol- PVB blends were studied to characterize these blends and select the most appropriate mixing ratio of polyvinyl butyral with resole resin, which was identified at 15 phr of polyvinyl butyral for every 100 parts of resole resin.

Linear Diophantine equation as public key of cryptography use ternary number system

In this paper , we will define multiple orthogonal vector of Diophantine equation on specific conditions. We will solve the Diophantine equation with this vector in ternary number system and develop special relationships for it , {0,1,2} , then we will present a new public key cryptosystem based on multiple orthogonal vector with an example to illustrate the system.

Study About Ring of Linear Operators of Vector Space

It's considered that، the ring of linear operator of vector space and stilled as a source of many mathematicians in general and algebreians particularly in introducing a new concepts in algebra and ring theory. In this subject I. Kaplansky proved the following theorem: "The ring of linear operators of finite dimension vector space is regular". The object of this paper is studying of ring of linear operator of vector space in abstract algebra point of view.

Sensorless Speed Control of Doubly Fed Induction Generator in Wind Turbine

This paper presents a new contribution the domain of sensorless speed control of doubly-fed induction generator in wind turbine applications. Where the speed and the dynamic torque are estimated and used to feedback the control loops. The proposed sensorless algorithm is robust to variations of the values of machine parameters where the estimated speed is independent of them. The algorithm avoids using differentiation which significantly improves its immunity to noise. The field oriented vector control theory is used to control the speed of the doubly fed induction machine. The used controllers in closed loops are classical proportional integral (PI). The modeling is based on the Park equations of the induction machine and on a simple model of the three phase inverter. The results of simulink on MATLAB provide good performance of the sensorless speed control.

Studying the Relationship between Financial Development and Economic Growth in Syria (1980-2010)

This study investigates the relationship between the financial development and the economic growth in Syria during the period (1980-2010). The financial development was measured by the credit granted to the private sector and the broad money M2 whereas the economic growth was measured by the real gross domestic product per capita.

Isolated Word Recognition

الغاية من هذا البحث بناء نظام لتصنيف نطق الأرقام الانكليزية وذلك بالاعتماد على نماذج ماركوف المخفية في التصنيف وذلك بالاعتماد على طيف الإشارة في استخراج سمات الإشارات

The Relationship between Macroeconomic Variables and Damascus Securities Exchange Index

Given The Importance of Relationship between Macroeconomic Variables and Financial Market for Researchers, Investors and officials, This Relationship has been Studied in This Research during Period 1-1-2010 to 31-12-2011 Using Monthly Data for Nominal Effective Exchange Rate SNEER, Money Supply SM2, Exports Coverage Imports SXM, Inflation Rate SINF, Damascus Market Index SDWX. Stability of Time Series Studied through Augmented Dickey Fuller Test, Johansen Co-Integration Test Confirmed There is Longitudinal Relationship-Term, Using Granger- Causality Test Appeared That The Relationship Reciprocal between Money Supply and The Index, Nominal Effective Exchange Rate is Causing Change in The Index, VAR Model Estimated, and Characterized by High R2, Jarque-Bera Test Shows The Residuals do not Follow Normal Distribution, Finally, Prediction in Some Time Periods Close to Realistic Values of Index. By Analyzing This Result We Come up That The Relationship between Macroeconomic Variables and Damascus Market Index has a Medium Strength.