Comprehensive review and comparative analysis of transformer models in sentiment analysis
Sentiment analysis has become an important task in natural language processing because it
is used in many different areas. This paper gives a detailed review of sentiment analysis …
is used in many different areas. This paper gives a detailed review of sentiment analysis …
An enhanced guided LDA model augmented with BERT based semantic strength for aspect term extraction in sentiment analysis
M Venugopalan, D Gupta - Knowledge-based systems, 2022 - Elsevier
Aspect level sentiment analysis is a fine-grained task in sentiment analysis. It extracts
aspects and their corresponding sentiment polarity from opinionated text. The first subtask of …
aspects and their corresponding sentiment polarity from opinionated text. The first subtask of …
Climate change sentiment analysis using lexicon, machine learning and hybrid approaches
The emissions of greenhouse gases, such as carbon dioxide, into the biosphere have the
consequence of warming up the planet, hence the existence of climate change. Sentiment …
consequence of warming up the planet, hence the existence of climate change. Sentiment …
Analysis of customer reviews with an improved VADER lexicon classifier
Background The importance of customer reviews in determining satisfaction has significantly
increased in the digital marketplace. Using sentiment analysis in customer reviews has …
increased in the digital marketplace. Using sentiment analysis in customer reviews has …
[HTML][HTML] Sentiment analysis methods, applications, and challenges: A systematic literature review
Y Mao, Q Liu, Y Zhang - Journal of King Saud University-Computer and …, 2024 - Elsevier
With the expansion of Internet-based applications, the number of comments shows
explosive growth. Analyzing the attitudes and emotions behind comments provides powerful …
explosive growth. Analyzing the attitudes and emotions behind comments provides powerful …
Drug-target interactions prediction based on network topology feature representation embedded deep forest
M Lian, X Wang, W Du - Neurocomputing, 2023 - Elsevier
Identifying drug-target interactions (DTIs) is instructive in drug design and disease treatment.
Existing studies typically used the properties of nodes (drug chemical structure and protein …
Existing studies typically used the properties of nodes (drug chemical structure and protein …
Advancing Automated Content Analysis for a New Era of Media Effects Research: The Key Role of Transfer Learning
The availability of individual-level digital trace data offers exciting new ways to study media
uses and effects based on the actual content that people encountered. In this article, we …
uses and effects based on the actual content that people encountered. In this article, we …
Structural, dielectric and transport properties of Na x Fe 1/2 Mn 1/2 O 2 (x= 1 and 2/3)
NaxFe1/2Mn1/2O2 (x= 1 and 2/3) layered oxides were prepared by an improved solid-state
synthesis method. The XRD analysis confirmed the high purity of these samples. The …
synthesis method. The XRD analysis confirmed the high purity of these samples. The …
Exploiting bi-directional deep neural networks for multi-domain sentiment analysis using capsule network
A Ghorbanali, MK Sohrabi - Multimedia Tools and Applications, 2023 - Springer
Sentiment analysis (SA) is the computational analysis of the ideas, feelings, and opinions
that determines the polarity of the text documents or comments using natural language …
that determines the polarity of the text documents or comments using natural language …
From molecular salt to layered network: cation-driven tuning of band gap, structure, and charge transport in A 3 Bi 2 I 9 (A= Cs, Rb) perovskites
The increasing demand for eco-friendly and stable optoelectronic materials has led to
interest in all-inorganic lead-free halide perovskites. This study reports the synthesis of …
interest in all-inorganic lead-free halide perovskites. This study reports the synthesis of …