Sarcasm identification in textual data: systematic review, research challenges and open directions

CI Eke, AA Norman, L Shuib, HF Nweke - Artificial Intelligence Review, 2020 - Springer
Sarcasm is a form of sentiment whereby people express the implicit information, usually the
opposite of the message content in order to hurt someone emotionally or criticise something …

Detection of suspicious terrorist emails using text classification: A review

G Mujtaba, L Shuib, RG Raj… - Malaysian Journal of …, 2018 - ojie.um.edu.my
This paper provides a comprehensive review and analysis of the detection of suspicious
terrorist electronic mails (emails) using various phases and methods of text classification …

The use of supervised text classification techniques: A comprehensive study

VK Soni, D Srivastava - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
Every second in social networking, a massive amount of feedback, comments, and posts are
made, resulting in a massive increase in the social database. It's now necessary to go …

A customised grammar framework for query classification

A Mohasseb, M Bader-El-Den, M Cocea - Expert Systems with Applications, 2019 - Elsevier
In real-life classification problems, prior information about the problem and expert
knowledge about the domain are often used to obtain reliable and consistent solutions. This …

Domain specific syntax based approach for text classification in machine learning context

A Mohasseb, M Bader-El-Den, H Liu… - … on machine learning …, 2017 - ieeexplore.ieee.org
Due to the vast amount of data, searching and obtaining relevant information on the web is a
challenging task. Despite that a broad range of classification techniques have been …

Detecting and filtering rumor in social media using news media event

N Kandasamy, K Murugasamy - Concurrency and Computation …, 2021 - Wiley Online Library
In social media platform, many users post messages to express their interests and
preferences daily. Because of its fast and easy access abundant people follow news events …

[PDF][PDF] Model Analytic in Fintech User Comment Features Using LDA-CNN on Imbalanced Data.

AD Widiantoro, M Mustafid, R Sanjaya - International Journal of Intelligent …, 2024 - inass.org
Peer-to-peer (P2P) lending platforms are growing significantly, and users always leave
comments on the application to provide ratings. User comments are important to analyze to …

A definitive survey of how to use unsupervised text classifiers

S Sharma, J Adlin - … on System Modeling & Advancement in …, 2022 - ieeexplore.ieee.org
A tremendous number of discussions, reviews, and postings are placed on online
communities any day, greatly expanding the global dataset. To learn what consumers think …

[PDF][PDF] Mining better advertisement tool for government schemes using machine learning

E Prabhakar, VS Kumar, S Nandagopal… - International Journal of …, 2019 - researchgate.net
Public opinion impacts most government policies and sets the limits within which
policymakers must operate. It also sets the pace of reform. Central and state governments …

Classification of text documents using association rule mining with critical relative support based pruning

P Karthik, M Saurabh… - … Conference on Advances …, 2016 - ieeexplore.ieee.org
Text document classification is the process of assigning class labels to text documents by
training a model using a large enough corpus. It is more complex than other conventional …