Low-dimensional text representations for sentiment analysis NLP tasks
L Akritidis, P Bozanis - SN Computer Science, 2023 - Springer
Abstract Natural Language Processing (NLP) is presently among the hottest scientific fields
with an enormous growth rate of the relevant research. Sentiment analysis is a popular NLP …
with an enormous growth rate of the relevant research. Sentiment analysis is a popular NLP …
A context-enhanced Dirichlet model for online clustering in short text streams
Online clustering of short text streams has become significant due to the popularity of news
and social media platforms. The objective of online clustering is to maintain active topics …
and social media platforms. The objective of online clustering is to maintain active topics …
Improving hierarchical short text clustering through dominant feature learning
This paper focuses on the popular problem of short text clustering. Since the short text
documents typically exhibit high degrees of data sparseness and dimensionality, the …
documents typically exhibit high degrees of data sparseness and dimensionality, the …
[HTML][HTML] Revolutionary text clustering: Investigating transfer learning capacity of SBERT models through pooling techniques
Y Ortakci - Engineering Science and Technology, an International …, 2024 - Elsevier
Abstract Large Language Models (LLMs), one of the most advanced representatives of
neural networks, have revolutionized the field of natural language processing. Among the …
neural networks, have revolutionized the field of natural language processing. Among the …
Lifting the curse: Exploring dimensionality reduction on text clustering applications
L Akritidis, P Bozanis - 2022 13th International Conference on …, 2022 - ieeexplore.ieee.org
Nowadays, huge amounts of text are being generated on the Web by a vast number of
applications. Examples of such applications include instant messengers, social networks, e …
applications. Examples of such applications include instant messengers, social networks, e …
A novel deep fully convolutional encoder-decoder network and similarity analysis for English education text event clustering analysis
Z **g - Computer Science and Information Systems, 2024 - doiserbia.nb.rs
Education event clustering for social media aims to achieve short text clustering according to
event characteristics in online social networks. Traditional text event clustering has the …
event characteristics in online social networks. Traditional text event clustering has the …
A Scalable Short-Text Clustering Algorithm Using Apache Spark
Short text clustering deals with the problem of grou** together semantically similar
documents with small lengths. Nowadays, huge amounts of text data is being generated by …
documents with small lengths. Nowadays, huge amounts of text data is being generated by …
Clustering Approach for Detecting Multiple Types of Adversarial Examples
With intentional feature perturbations to a deep learning model, the adversary generates an
adversarial example to deceive the deep learning model. As an adversarial example has …
adversarial example to deceive the deep learning model. As an adversarial example has …