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Building Large Scale Cloud System for Product Sentiment Analysis using Hybrid Group Search Optimization Based Feature Selection

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
For this work, the method of feature selection based on the GSO was applied to the sentiment classification.  ...  All chosen features will be sub-optimal owing to a Non-Deterministic Polynomial (NP) hard type of technique that was used.  ...  From this type of a cleaned sentiment data, all effective features that had been selected using a greedy approach with another optimal classifier known as the Cat Swarm Optimization-based Long Short-Term  ... 
doi:10.35940/ijitee.i3091.0789s319 fatcat:7plhs7ffhbgxbgymwfvaoicdq4

Survey on the Objectives of Recommender System: Measures, Solutions, Evaluation Methodology, and New Perspectives

Bushra Alhijawi, Arafat Awajan, Salam Fraihat
2022 ACM Computing Surveys  
This article aims to provide a comprehensive review of recent research efforts on recommender systems based on the objectives achieved: relevance, diversity, novelty, coverage, and serendipity.  ...  Furthermore, the article surveys the evaluation methodology used to measure the impact of the main challenges on performance and the new applications of the recommender system.  ...  A random walk with a restart approach was used to model the user's preferences, after which short meta-paths were generated.  ... 
doi:10.1145/3527449 fatcat:xc4ibrglpjgqzlgttplmgitedu

Conference Program

2021 2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)  
His research focuses on ways to optimize resources in civil and infrastructure projects.  ...  He received his Ph.D. degree in Civil Engineering with an emphasis on Construction Management from Auburn University and an M.S. degree in Civil Engineering from The University of Tennessee at Chattanooga  ...  Presenter bio: Lina is a multidisciplinary person holding a degree in Pharmacology and Toxicology from the University of Auckland in New Zealand, and expecting to complete her postgraduate degree in the  ... 
doi:10.1109/3ict53449.2021.9581455 fatcat:zgaclsoapjbhbmjmki7bjltre4

ijair-volume-6-issue-1-vii-january-march-2019 -HINDUSTAN BOOK.pdf

V. Thamilarasi
2022 figshare.com  
Particle Swarm Optimization  Particle Swarm Optimization algorithm (PSO) which is mainly used to reduce the medical errors which uses the computational method to optimize the solution based on the problem  ...  ANN -Artificial Neural Network An artificial neural network (ANN), often just called a "neural network" (NN), is a mathematical model or computational model based on biological neural network.  ...  CONCLUSION This paper provides survey about machine learning with big data. In future, this approach can be extended to implement classifier in big data analytics.  ... 
doi:10.6084/m9.figshare.20217722.v1 fatcat:l74ihuqhcvdtjomod3zdwzfniu

Deep Reinforcement Learning, a textbook [article]

Aske Plaat
2022 arXiv   pre-print
The aim of this book is to provide a comprehensive overview of the field of deep reinforcement learning.  ...  We cover the established model-free and model-based methods that form the basis of the field.  ...  The games have some strategic elements, credit assignment is mostly over a short term, and can be learned with a surprisingly simple neural network.  ... 
arXiv:2201.02135v2 fatcat:3icsopexerfzxa3eblpu5oal64

Modeling Creativity: Case Studies in Python [article]

Tom De Smedt
2014 arXiv   pre-print
We will use a hands-on approach with case studies and examples in the Python programming language.  ...  Modeling Creativity (doctoral dissertation, 2013) explores how creativity can be represented using computational approaches.  ...  Acknowledgements The authors of DrawBot, Just van Rossum and Erik van Blokland, define the simplicity of a computational approach to art and design in terms of volume, complexity and variation:  ... 
arXiv:1410.0281v1 fatcat:an7qvt47fbeqjgx5jmhrrnijsm

Full Text PDF of The JBBA, Volume 2 Issue 2, October 2019

Naseem Naqvi
2019 The Journal of British Blockchain Association  
Short-term contracts with the option of renegotiation have been contrasted with longer-term contracts.  ...  It also uses vector autoregression and recurrent neural network to conduct price prediction instead of classification.  ...  In this game, the users own cats that have certain attributes, like colour or weird features like wings. The cats can mate with each other creating new cats with unique combinations of attributes.  ... 
doi:10.31585/jbba-2-2-(full)2019 fatcat:lsnv4wnuhvhpne33puatdc4p4e

Artificial Intelligence [article]

John Paul Mueller Luca Massaron
2018 Zenodo  
A major part of the problem is that movies, television shows, and books have all conspired to give false hopes as to what AI will accomplish.  ...  So, the best way to start this book is to define what AI actually is, what it isn't, and how it connects to computers today  ...  In a short time, and with fewer examples, the network will apply what it learned in distinguishing dogs and cats to macaroni and cheese.  ... 
doi:10.5281/zenodo.5599660 fatcat:rn6nyx5xinehzpwfy3knurtzgy

Social physics [article]

Marko Jusup, Petter Holme, Kiyoshi Kanazawa, Misako Takayasu, Ivan Romic, Zhen Wang, Suncana Gecek, Tomislav Lipic, Boris Podobnik, Lin Wang, Wei Luo, Tin Klanjscek (+3 others)
2021 arXiv   pre-print
Recent decades have seen a rise in the use of physics-inspired or physics-like methods in attempts to resolve diverse societal problems.  ...  Based on the number of ideas laid out, but also on the fact that the field is already too big for an exhaustive review despite our best efforts, we are forced to conclude that the future for social physics  ...  Acknowledgements We are thankful to Sheikh Taslim  ... 
arXiv:2110.01866v1 fatcat:ccfxyezl6zgddd6uvrxubmaxua

Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery

Xin Yang, Yifei Wang, Ryan Byrne, Gisbert Schneider, Shengyong Yang
2019
Finally, several challenges and limitations of the current methods are summarized, with a view to potential future directions for AI-assisted drug discovery and design. CONTENTS  ...  Various machine learning approaches have recently (re)emerged, some of which may be considered instances of domain-specific AI which have been successfully employed for drug discovery and design.  ...  short-term memory (LSTMs) 230 and gated recurrent unit (GRU). 231 Deep RNN models based on LSTM or GRU have been used for de novo molecule design.  ... 
doi:10.3929/ethz-b-000367388 fatcat:5lno7hywmva6pg3nlufgln23se

Area Chairs

Adrian Clark, Alessio Bue, Ist Genova, Andrea Cavallaro, Queen Mary, Andrea Torsello, Andrew Fitzgibbon, Antonio Robles, Kelly Nicta -Canberra, Barbara Caputo, Bjorn Stenger, Edmond Boyer (+28 others)
unpublished
Only the very highest quality papers were selected for oral presentation, with 38 papers gaining a podium spot, or 10% of the submissions.  ...  It now home to more than 16,000 students. York is a campus University, sited in parkland and famous for its lakes and waterfowl.  ...  Mecca is a Marie Curie fellow of the "INdAM", Italy.  ... 
fatcat:qy4idlefnzf6xjwaxjjpd75tzy

User Behavior Analysis on Social Web with Knowledge Discovery Techniques

Δέσποινα Δ. Χατζάκου
2021
As a source of information social media are mainly considered, spanning from microblogs and online social networks to content sharing platforms and location-based social networks.  ...  The preoccupation with social media has resulted to an overwhelming sentiment expression.  ...  More specifically, the Long Short Term Memory (LSTM) [Hochreiter and Schmidhuber, 1997] networks are considered which are able to learn long-term dependencies, i.e., they exploit previous information to  ... 
doi:10.26262/heal.auth.ir.295524 fatcat:m5dqoztvh5b5pnmoigcboeblpu

Mapping (Dis-)Information Flow about the MH17 Plane Crash

Mareike Hartmann, Yevgeniy Golovchenko, Isabelle Augenstein
2019 Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda   unpublished
Fourteen participants submitted a system description paper, which include models based on a wide range of learning models (e.g., neural networks, logistic regression) and representations (e.g., manually-engineered  ...  We further featured a shared task on the identification of propaganda in news articles. The task included two subtasks with different levels of complexity.  ...  The corpus for the task was annotated by A Data Pro, 7 a company that performs high-quality manual annotations.  ... 
doi:10.18653/v1/d19-5006 fatcat:77l3dndrkvfmlhjt6qvnrassgi

Self Exploration of Sensorimotor Spaces in Robots. Self-Exploration of Sensorimotor Spaces in Robots Mathématiques et Informatique Spécialité Informatique L'auto-exploration des espaces sensorimoteurs chez les robots Mathématiques et Informatique Spécialité Informatique

Fabien Benureau, Fabien Benureau, Verena Hafner, Jean-Baptiste Mouret, Manuel Lopes, Fabien Benureau, Verena Hafner, Jean-Baptiste Mouret
unpublished
Developmental robotics has begun in the last fifteen years to study robots that have a childhood-crawling before trying to run, playing before being useful-and that are basing their decisions upon a lifelong  ...  Even with good algorithms, sensorimotor exploration is still an expensive propositiona problem since robots inherently face constraints on the amount of data they are able to gather; each observation takes  ...  For instance, to train a classifier on sentiment analysis in social networks, there are huge numbers of posts available.  ... 
fatcat:sucupzioobbkhoibgg3bj3txuq

"It is written": representations of determinism in contemporary popular science writing and contemporary British fiction

Bradon T L Smith, Apollo-University Of Cambridge Repository, Apollo-University Of Cambridge Repository
2011
The metaphors and narratives used by popular science writers are again central to this representation.  ...  I argue that there is a tendency in popular science books on the new physics to emphasise the indeterminacy supposedly implied by those theories, and that a number of recurrent metaphors are integral to  ...  Acknowledgements I would like to take this opportunity to thank my supervisor, David Clifford, for all the insights and comments that have helped to shape this thesis.  ... 
doi:10.17863/cam.16187 fatcat:edognh7vpjatlodlrh5qxuotsq
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