[HTML][HTML] A systematic review of social media-based sentiment analysis: Emerging trends and challenges
In the present information age, a wide and significant variety of social media platforms have
been developed and become an important part of modern life. Massive amounts of user …
been developed and become an important part of modern life. Massive amounts of user …
A comprehensive review of arabic text summarization
The explosion of online and offline data has changed how we gather, evaluate, and
understand data. It is frequently difficult and time-consuming to comprehend large text …
understand data. It is frequently difficult and time-consuming to comprehend large text …
[HTML][HTML] Analytics of machine learning-based algorithms for text classification
Text classification is the most vital area in natural language processing in which text data is
automatically sorted into a predefined set of classes. The application of text classification is …
automatically sorted into a predefined set of classes. The application of text classification is …
Comparison of text preprocessing methods
CP Chai - Natural Language Engineering, 2023 - cambridge.org
Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …
a key area that directly affects the natural language processing (NLP) application results. For …
Influence of pre-processing strategies on the performance of ML classifiers exploiting TF-IDF and BOW features
AP Pimpalkar, RJR Raj - ADCAIJ: Advances in Distributed Computing …, 2020 - torrossa.com
Opinion Mining (OM) continues with the implementation of technology that can distinguish
positive and negative expressions that are part of conversations and remarks. Because of …
positive and negative expressions that are part of conversations and remarks. Because of …
Deep Learning Techniques for Peer-to-Peer Physical Systems Based on Communication Networks
P Ajay, B Nagaraj, R Huang - Journal of Control Science and …, 2022 - search.proquest.com
Existing communication networks have inherent limitations in translation theory and adapt to
address the complexity of repairing new remote applications at the highest possible level …
address the complexity of repairing new remote applications at the highest possible level …
Ensembling classical machine learning and deep learning approaches for morbidity identification from clinical notes
The past decade has seen an explosion of the amount of digital information generated
within the healthcare domain. Digital data exist in the form of images, video, speech …
within the healthcare domain. Digital data exist in the form of images, video, speech …
[HTML][HTML] TextConvoNet: a convolutional neural network based architecture for text classification
This paper presents, TextConvoNet, a novel Convolutional Neural Network (CNN) based
architecture for binary and multi-class text classification problems. Most of the existing CNN …
architecture for binary and multi-class text classification problems. Most of the existing CNN …
Deep learning for technical document classification
In large technology companies, the requirements for managing and organizing technical
documents created by engineers and managers have increased dramatically in recent …
documents created by engineers and managers have increased dramatically in recent …
[HTML][HTML] Is text preprocessing still worth the time? A comparative survey on the influence of popular preprocessing methods on Transformers and traditional classifiers
With the advent of the modern pre-trained Transformers, the text preprocessing has started
to be neglected and not specifically addressed in recent NLP literature. However, both from …
to be neglected and not specifically addressed in recent NLP literature. However, both from …