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 …
[HTML][HTML] Bengali text document categorization based on very deep convolution neural network
In recent years, the amount of digital text contents or documents in the Bengali language has
increased enormously on online platforms due to the effortless access of the Internet via …
increased enormously on online platforms due to the effortless access of the Internet via …
CovTiNet: Covid text identification network using attention-based positional embedding feature fusion
Covid text identification (CTI) is a crucial research concern in natural language processing
(NLP). Social and electronic media are simultaneously adding a large volume of Covid …
(NLP). Social and electronic media are simultaneously adding a large volume of Covid …
AraCovTexFinder: Leveraging the transformer-based language model for Arabic COVID-19 text identification
In light of the pandemic, the identification and processing of COVID-19-related text have
emerged as critical research areas within the field of Natural Language Processing (NLP) …
emerged as critical research areas within the field of Natural Language Processing (NLP) …
CBVoSD: context based vectors over sentiment domain ensemble model for review classification
M Wankhade, CSR Annavarapu, MK Verma - The Journal of …, 2022 - Springer
With the exponential growth of e-commerce, billions of consumers can share their opinion in
chat groups, retailer forums, private forums, or a review page on all kinds of products …
chat groups, retailer forums, private forums, or a review page on all kinds of products …
Application of Quantum Recurrent Neural Network in Low Resource Language Text Classification
Text sentiment analysis is an important task in natural language processing and has always
been a hot research topic. However, in low-resource regions such as South Asia, where …
been a hot research topic. However, in low-resource regions such as South Asia, where …
A text classification method based on graph attention networks
Y Liu, X Gou - 2021 International Conference on Information …, 2021 - ieeexplore.ieee.org
With the rapid generation and dissemination of information data in modern society,
intelligent processing of text classification is becoming more and more important. The …
intelligent processing of text classification is becoming more and more important. The …
Sntiemd: Sentiment specific embedding model generation and evaluation for a resource constraint language
Sentiment analysis is primitive natural language processing (NLP) research for resource-
constrained languages where feature extraction in a specific domain is a challenging issue …
constrained languages where feature extraction in a specific domain is a challenging issue …
Toward embedding hyperparameters optimization: Analyzing their impacts on deep leaning-based text classification
MR Hossain, MM Hoque - The Fourth Industrial Revolution and Beyond …, 2023 - Springer
In the last few years, an enormous amount of unstructured text documents has been added
to the World Wide Web because of the availability of electronics gadgets and increases the …
to the World Wide Web because of the availability of electronics gadgets and increases the …
Ben-cnn-bilstm: A model of consequential document set identification of bengali text
Document set identification assigns a text to its predefined text set. Therefore, the objective
of any classification work is to create a model that can categorise various texts and objects …
of any classification work is to create a model that can categorise various texts and objects …