Aspect-level sentiment analysis: A survey of graph convolutional network methods
Aspect-level sentiment analysis (ALSA) is the process of collecting, processing, analyzing,
inferring, and synthesizing subjective sentiments of entities contained in texts at the aspect …
inferring, and synthesizing subjective sentiments of entities contained in texts at the aspect …
Integration of deep learning into the iot: A survey of techniques and challenges for real-world applications
The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …
Topic Modelling and Opinion Analysis On Climate Change Twitter Data Using LDA And BERT Model.
SE Uthirapathy, D Sandanam - Procedia Computer Science, 2023 - Elsevier
Nowadays, Climate change is an important environmental factor that affects every living
thing on the earth. It is very essential to study the public perceptions regarding the disaster …
thing on the earth. It is very essential to study the public perceptions regarding the disaster …
[HTML][HTML] A hybrid optimization algorithm using BiLSTM structure for sentiment analysis
J Sangeetha, U Kumaran - Measurement: Sensors, 2023 - Elsevier
Sentiment analysis can assist consumers in providing clear and objective sentiment
recommendations based on large amounts of data, and it is helpful in overcoming unclear …
recommendations based on large amounts of data, and it is helpful in overcoming unclear …
Sentiment analysis using fuzzy logic: A comprehensive literature review
Understanding and comprehending humans' views, beliefs, attitudes, or opinions toward a
particular entity is sentiment analysis (SA). Advancements in e‐commerce platforms has led …
particular entity is sentiment analysis (SA). Advancements in e‐commerce platforms has led …
Online product sentiment analysis using random evolutionary whale optimization algorithm and deep belief network
In the recent decades, the online product sentiment analysis is an emerging research topic
that assists the customers to take better decisions on purchasing the products and to …
that assists the customers to take better decisions on purchasing the products and to …
Rule based fuzzy computing approach on self-supervised sentiment polarity classification with word sense disambiguation in machine translation for Hindi language
With increasing globalization, communication among people of diverse cultural
backgrounds is also taking place to a very large extent in the present era. Issues like …
backgrounds is also taking place to a very large extent in the present era. Issues like …
Mobile phone buying decisions among young adults: An empirical study of influencing factors
Owing to the novelty and dynamism of mobile phone shopping behavior of adults within the
context of contemporary social, technological, and market norms necessitated the need to …
context of contemporary social, technological, and market norms necessitated the need to …
Exploring sentiment polarity of p2p guests through online user reviews: A multimodal fuzzy approach
EL Bonny, D Liang - IEEE Transactions on Engineering …, 2023 - ieeexplore.ieee.org
The popularity of peer-to-peer (P2P) housing services has increased the demand for
understanding guests' emotional experiences and sentiments towards these services. This …
understanding guests' emotional experiences and sentiments towards these services. This …
Aspect based sentiment analysis using long-short term memory and weighted N-gram graph-cut
In the current domain, aspect-based sentiment analysis is a much-explored area in
sentiment classification. In this paper, an optimization method, Graph-Cut, is used first time …
sentiment classification. In this paper, an optimization method, Graph-Cut, is used first time …