Sarcasm identification in textual data: systematic review, research challenges and open directions
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 …
opposite of the message content in order to hurt someone emotionally or criticise something …
Detection of suspicious terrorist emails using text classification: A review
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 …
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 …
made, resulting in a massive increase in the social database. It's now necessary to go …
A customised grammar framework for query classification
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 …
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
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 …
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 …
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.
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 …
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 …
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
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 …
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 …
training a model using a large enough corpus. It is more complex than other conventional …