A System for Sentiment Analysis of Colloquial Arabic Using Human Computation

We present the implementation and evaluation of a sentiment analysis system that is conducted over Arabic text with evaluative content. Our system is broken into two different components. The first component is a game that enables users to annotate large corpuses of text in a fun manner. The game produces necessary linguistic resources that will be used by the second component which is the sentimental analyzer. Two different algorithms have been designed to employ these linguistic resources to analyze text and classify it according to its sentimental polarity. The first approach is using sentimental tag patterns, which reached a precision level of 56.14%. The second approach is the sentimental majority approach which relies on calculating the number of negative and positive phrases in the sentence and classifying the sentence according to the dominant polarity. The results after evaluating the system for the first sentimental majority approach yielded the highest accuracy level reached by our system which is 60.5% while the second variation scored an accuracy of 60.32%.

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The second variation and neighboring optimal feedback guidance for multiple burn orbit transfers

10.2514/6.1995-3360 ◽

1995 ◽

Author(s):

C-HGoodson, Chuang, , Troy D ◽

Laura Ledsinger ◽

John Hanson

Keyword(s):

Second Variation ◽

Optimal Feedback ◽

The Second Variation

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MoSa: A Modeling and Sentiment Analysis System for Mobile Application Big Data

Algorithms and Architectures for Parallel Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-05054-2_44 ◽

2018 ◽

pp. 582-595

Author(s):

Yaocheng Zhang ◽

Wei Ren ◽

Tianqing Zhu ◽

Wei Bi

Keyword(s):

Big Data ◽

Sentiment Analysis ◽

Mobile Application ◽

Analysis System

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Enhancement of a multi-dialectal sentiment analysis system by the detection of the implied sarcastic features

Knowledge-Based Systems ◽

10.1016/j.knosys.2021.107232 ◽

2021 ◽

pp. 107232

Author(s):

Ibtissam Touahri ◽

Azzeddine Mazroui

Keyword(s):

Sentiment Analysis ◽

Analysis System

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Variational formulations of steady rotational equatorial waves

Advances in Nonlinear Analysis ◽

10.1515/anona-2020-0146 ◽

2020 ◽

Vol 10 (1) ◽

pp. 534-547

Author(s):

Jifeng Chu ◽

Joachim Escher

Keyword(s):

Linear Stability ◽

Stream Function ◽

Water Waves ◽

Variational Formulation ◽

Energy Functional ◽

Equatorial Waves ◽

Second Variation ◽

Governing Equations ◽

The Second Variation ◽

Variational Formulations

Abstract When the vorticity is monotone with depth, we present a variational formulation for steady periodic water waves of the equatorial flow in the f-plane approximation, and show that the governing equations for this motion can be obtained by studying variations of a suitable energy functional 𝓗 in terms of the stream function and the thermocline. We also compute the second variation of the constrained energy functional, which is related to the linear stability of steady water waves.

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Enhanced concept-level sentiment analysis system with expanded ontological relations for efficient classification of user reviews

Egyptian Informatics Journal ◽

10.1016/j.eij.2021.03.001 ◽

2021 ◽

Author(s):

Asad Khattak ◽

Muhammad Zubair Asghar ◽

Zain Ishaq ◽

Waqas Haider Bangyal ◽

Ibrahim A Hameed

Keyword(s):

Sentiment Analysis ◽

User Reviews ◽

Analysis System

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Comparing SVM and KNN Algorithms for Myanmar News Sentiment Analysis System

Proceedings of 2020 the 6th International Conference on Computing and Data Engineering ◽

10.1145/3379247.3379293 ◽

2020 ◽

Author(s):

Thein Yu ◽

Khin Thandar Nwet

Keyword(s):

Sentiment Analysis ◽

Analysis System ◽

News Sentiment

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MoSa: A Modeling and Sentiment Analysis System for Mobile Application Big Data

Symmetry ◽

10.3390/sym11010115 ◽

2019 ◽

Vol 11 (1) ◽

pp. 115 ◽

Cited By ~ 2

Author(s):

Yaocheng Zhang ◽

Wei Ren ◽

Tianqing Zhu ◽

Ehoche Faith

Keyword(s):

Sentiment Analysis ◽

Interaction Design ◽

Mobile Application ◽

Situational Awareness ◽

Mobile Internet ◽

The Public ◽

Public Sentiment ◽

High Altitude Area ◽

Sentiment Dictionary ◽

Analysis System

The development of mobile internet has led to a massive amount of data being generated from mobile devices daily, which has become a source for analyzing human behavior and trends in public sentiment. In this paper, we build a system called MoSa (Mobile Sentiment analysis) to analyze this data. In this system, sentiment analysis is used to analyze news comments on the THAAD (Terminal High Altitude Area Defense) event from Toutiao by employing algorithms to calculate the sentiment value of the comment. This paper is based on HowNet; after the comparison of different sentiment dictionaries, we discover that the method proposed in this paper, which use a mixed sentiment dictionary, has a higher accuracy rate in its analysis of comment sentiment tendency. We then statistically analyze the relevant attributes of the comments and their sentiment values and discover that the standard deviation of the comments’ sentiment value can quickly reflect sentiment changes among the public. Besides that, we also derive some special models from the data that can reflect some specific characteristics. We find that the intrinsic characteristics of situational awareness have implicit symmetry. By using our system, people can obtain some practical results to guide interaction design in applications including mobile Internet, social networks, and blockchain based crowdsourcing.

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