Text classification using embeddings: a survey
Text classification results can be hindered when just the bag-of-words model is used for
representing features, because it ignores word order and senses, which can vary with the …
representing features, because it ignores word order and senses, which can vary with the …
Study and comparision of vectorization techniques used in text classification
Reviews on products and movies play an important role in predicting and formulating
business strategies. Entertainment media, E-commerce, and social media use customers' …
business strategies. Entertainment media, E-commerce, and social media use customers' …
[PDF][PDF] A novel algorithm for sarcasm detection using supervised machine learning approach.
AY Abdullah Amer, T Siddiqu - AIMS Electronics & Electrical …, 2022 - aimspress.com
A novel algorithm for sarcasm detection using supervised machine learning approach Page 1
AIMS Electronics and Electrical Engineering, 6(4): 345‒369. DOI: 10.3934/electreng.2022021 …
AIMS Electronics and Electrical Engineering, 6(4): 345‒369. DOI: 10.3934/electreng.2022021 …
Multi-view graph-based text representations for imbalanced classification
Text classification is a fundamental task in natural language processing, notably in the
context of digital libraries, where it is essential for organizing and retrieving large numbers of …
context of digital libraries, where it is essential for organizing and retrieving large numbers of …
A classification method for english texts based on hybrid recurrent neural network and graph construction in social recommendation systems
J Wen, P Liu - IEEE Systems Journal, 2023 - ieeexplore.ieee.org
Text classification (TC) methods are widely used in the field of recommendation systems.
Text data has the characteristics of short length, large capacity, and variable data …
Text data has the characteristics of short length, large capacity, and variable data …
Fusing AraBERT and Graph Neural Networks for Enhanced Arabic Text Classification
Text classification is a fundamental task in natural language processing, and has been
widely studied for various languages. However, Arabic text classification is challenging due …
widely studied for various languages. However, Arabic text classification is challenging due …
Twitter sentiment analysis based on neural network techniques
A Singal, MM Thiruthuvanathan - … : Proceedings of CIS 2021, Volume 1, 2022 - Springer
Our whole world is changing everyday due to the present pace of innovation. One such
innovation was the Internet which has become a vital part of our lives and is being utilized …
innovation was the Internet which has become a vital part of our lives and is being utilized …
Community Shaping in the Digital Age: A Temporal Fusion Framework for Analyzing Discourse Fragmentation in Online Social Networks
This research presents a framework for analyzing the dynamics of online communities in
social media platforms, utilizing a temporal fusion of text and network data. By combining …
social media platforms, utilizing a temporal fusion of text and network data. By combining …
[Retracted] Sentiment Analysis of International and Foreign Chinese‐Language Texts with Multilevel Features
M Zhu - Discrete Dynamics in Nature and Society, 2022 - Wiley Online Library
This paper takes the application of international Chinese to foreigners on the Internet as the
research object. A variety of features are constructed according to the characteristics of …
research object. A variety of features are constructed according to the characteristics of …
A Review on Classifying and Prioritizing User Review-Based Software Requirements
User reviews are a valuable source of feedback for software developers, as they contain
user requirements, opinions, and expectations regarding app usage, including dislikes …
user requirements, opinions, and expectations regarding app usage, including dislikes …