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Field: Data science

Sentiment analysis on large scale Amazon product reviews

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Tanjim Ul Haque, Nudrat Nawal Saber, Faisal Muhammad Shah

Year: 2018Citations: 259

The world we see nowadays is becoming more digitalized. In this digitalized world e-commerce is taking the ascendancy by making products available within the reach of customers where the customer doesn't have to go out of their house. As now a day's people are relying on online products so the impor...

Physical SciencesComputer ScienceArtificial Intelligence
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A Comprehensive Review on Fake News Detection With Deep Learning

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M. F. Mridha, Ashfia Jannat Keya, Md. Abdul Hamid, Muhammad Mostafa Monowar et al.

Journal: IEEE AccessYear: 2021Citations: 252

A protuberant issue of the present time is that, organizations from different domains are struggling to obtain effective solutions for detecting online-based fake news. It is quite thought-provoking to distinguish fake information on the internet as it is often written to deceive users. Compared wit...

Social SciencesSociology and Political ScienceMisinformation and Its ImpactsOpen Access
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Programming challenges of chatbot: Current and future prospective

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Al Mahmudur Rahman, Abdullah Al Mamun, Alma Islam

Year: 2017Citations: 247

In the modern Era of technology, Chatbots is the next big thing in the era of conversational services. Chatbots is a virtual person who can effectively talk to any human being using interactive textual skills. Currently, there are many cloud base Chatbots services which are available for the develop...

Physical SciencesComputer ScienceArtificial Intelligence
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Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review

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Jamin Rahman Jim, Md Apon Riaz Talukder, Partha Malakar, Md. Mohsin Kabir et al.

Journal: Natural Language Processing JournalYear: 2024Citations: 241

Sentiment analysis is a method within natural language processing that evaluates and identifies the emotional tone or mood conveyed in textual data. Scrutinizing words and phrases categorizes them into positive, negative, or neutral sentiments. The significance of sentiment analysis lies in its capa...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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A benchmark study of machine learning models for online fake news detection

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Junaed Younus Khan, Md. Tawkat Islam Khondaker, Sadia Afroz, Gias Uddin et al.

Journal: Machine Learning with ApplicationsYear: 2021Citations: 233

The proliferation of fake news and its propagation on social media has become a major concern due to its ability to create devastating impacts. Different machine learning approaches have been suggested to detect fake news. However, most of those focused on a specific type of news (such as political)...

Social SciencesSociology and Political ScienceMisinformation and Its ImpactsOpen Access
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The ocean sampling day consortium

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Anna Kopf, Mesude Bicak, Renzo Kottmann, Julia Schnetzer et al.

Journal: GigaScienceYear: 2015Citations: 223

Ocean Sampling Day was initiated by the EU-funded Micro B3 (Marine Microbial Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine microbial biodiversity and function of the world's oceans. It is a simultaneous global mega-sequencing campaign aiming to generate the ...

Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
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Sampling Techniques (Probability) for Quantitative Social Science Researchers: A Conceptual Guidelines with Examples

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Md. Mizanur Rahman, Mosab I. Tabash, Aidin Salamzadeh, Selajdin Abduli et al.

Journal: SEEU ReviewYear: 2022Citations: 221

Abstract Collecting data using an appropriate sampling technique is a challenging task for a researcher to do. The researchers will be unable to collect data from all possible situations, which will preclude them from answering the study’s research questions in their current form. In light of the en...

Physical SciencesMathematicsStatistics and ProbabilityOpen Access
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Machine Learning: Algorithms, Real-World Applications and Research Directions

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Iqbal H. Sarker

Journal: Preprints.orgYear: 2021Citations: 219

In the current age of the Fourth Industrial Revolution ($4IR$ or Industry $4.0$), the digital world has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data, business data, social media data, health data, etc. To intelligently analyze these data and develop the co...

Physical SciencesEngineeringBuilding and ConstructionOpen Access
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A review of machine learning methods for drought hazard monitoring and forecasting: Current research trends, challenges, and future research directions

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Foyez Ahmed Prodhan, Jiahua Zhang, Shaikh Shamim Hasan, Til Prasad Pangali Sharma et al.

Journal: Environmental Modelling & SoftwareYear: 2022Citations: 216
Physical SciencesEnvironmental ScienceGlobal and Planetary Change
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Public human microbiome data are dominated by highly developed countries

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Richard J. Abdill, Elizabeth M. Adamowicz, Ran Blekhman

Journal: PLoS BiologyYear: 2022Citations: 214

The importance of sampling from globally representative populations has been well established in human genomics. In human microbiome research, however, we lack a full understanding of the global distribution of sampling in research studies. This information is crucial to better understand global pat...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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Replication and robustness in developmental research.

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Greg J. Duncan, Mimi Engel, Amy Claessens, Chantelle Dowsett

Journal: Developmental PsychologyYear: 2014Citations: 212

Replications and robustness checks are key elements of the scientific method and a staple in many disciplines. However, leading journals in developmental psychology rarely include explicit replications of prior research conducted by different investigators, and few require authors to establish in th...

Social SciencesPsychologyExperimental and Cognitive Psychology
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ChatGPT and Academic Research: A Review and Recommendations Based on Practical Examples

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Md. Mizanur Rahman, Harold Jan R. Terano, Md Nafizur Rahman, Aidin Salamzadeh et al.

Journal: Journal of Education Management and Development StudiesYear: 2023Citations: 210

In the academic world, academicians, researchers, and students have already employed Large Language Models (LLMs) such as ChatGPT to complete their various academic and non-academic tasks, including essay writing, different formal and informal speech writing, summarising literature, and generating i...

Health SciencesMedicineHealth InformaticsOpen Access
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Machine Learning for Intelligent Data Analysis and Automation in Cybersecurity: Current and Future Prospects

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Iqbal H. Sarker

Journal: Annals of Data ScienceYear: 2022Citations: 207

Abstract Due to the digitization and Internet of Things revolutions, the present electronic world has a wealth of cybersecurity data. Efficiently resolving cyber anomalies and attacks is becoming a growing concern in today’s cyber security industry all over the world. Traditional security solutions ...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen Access
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A Comparative Analysis of Distributed Ledger Technology Platforms

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Mohammad Jabed Morshed Chowdhury, Md Sadek Ferdous, Kamanashis Biswas, Niaz Chowdhury et al.

Journal: IEEE AccessYear: 2019Citations: 206

Distributed Ledger Technology (DLT) has emerged as one of the most disruptive technologies in the last decade. It promises to change the way people do their business, track their products, and manage their personal data. Though the concept of DLT was first implemented in 2009 as Bitcoin, it has gain...

Physical SciencesComputer ScienceInformation SystemsOpen Access
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Mobile Data Science and Intelligent Apps: Concepts, AI-Based Modeling and Research Directions

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Iqbal H. Sarker, Mohammed Moshiul Hoque, Md. Kafil Uddin, Tawfeeq Alsanoosy

Journal: Mobile Networks and ApplicationsYear: 2020Citations: 198

Artificial intelligence (AI) techniques have grown rapidly in recent years in the context of computing with smart mobile phones that typically allows the devices to function in an intelligent manner. Popular AI techniques include machine learning and deep learning methods, natural language processin...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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