AGCVT-prompt for sentiment classification: Automatically generating chain of thought and verbalizer in prompt learning
Large language models (LLMs) have revolutionized natural language processing, but they
require significant data and hardware resources. Prompt learning offers a solution by …
require significant data and hardware resources. Prompt learning offers a solution by …
Global recession sentiment analysis utilizing VADER and ensemble learning method with word embedding
The issue of the Global Recession is hitting various countries, including Indonesia. Many
Indonesians have expressed their opinions on the issue of the global recession in 2023, one …
Indonesians have expressed their opinions on the issue of the global recession in 2023, one …
Habesha@ DravidianLangTech: Utilizing Deep and Transfer Learning Approaches for Sentiment Analysis.
MG Yigezu, T Kebede, O Kolesnikova… - Proceedings of the …, 2023 - aclanthology.org
This research paper focuses on sentiment analysis of Tamil and Tulu texts using a BERT
model and an RNN model. The BERT model, which was pretrained, achieved satisfactory …
model and an RNN model. The BERT model, which was pretrained, achieved satisfactory …
Sentiment Analysis on Bangla Food Reviews Using Machine Learning and Explainable NLP
Sentiment analysis (SA) is a sub-field of natural language processing (NLP) which can
extract valuable insights from textual data of a language. Food review analysis is a trending …
extract valuable insights from textual data of a language. Food review analysis is a trending …
DPMS: Data-driven promotional management system of universities using deep learning on social media
SocialMedia Marketing (SMM) has become a mainstream promotional scheme. Almost
every business promotes itself through social media, and an educational institution is no …
every business promotes itself through social media, and an educational institution is no …
A turbulent flow optimized deep fused ensemble model (TFO-DFE) for sentiment analysis using social corpus data
Social media sites are a popular medium for interaction in the modern, expanding globe,
where everyone has a connection with social media in some way. The people are …
where everyone has a connection with social media in some way. The people are …
[HTML][HTML] News Coverage of the COVID-19 Pandemic on Social Media and the Public's Negative Emotions: Computational Study
H Wang, Y Li, X Ning - Journal of Medical Internet Research, 2024 - jmir.org
Background Social media has become an increasingly popular and critical tool for users to
digest diverse information and express their perceptions and attitudes. While most studies …
digest diverse information and express their perceptions and attitudes. While most studies …
Deep parallel contextual analysis framework based emotion prediction in community wellness communications on social media
F Liu, K Hou, Y Dong - Heliyon, 2024 - cell.com
Understanding public emotion on social media about community wellness is crucial for
enhancing health awareness and guiding policy-making. In order to more fully mine the …
enhancing health awareness and guiding policy-making. In order to more fully mine the …
COVID-19 Twitter Sentiment Classification Using Hybrid Deep Learning Model Based on Grid Search Methodology
J Tembhurne, A Agrawal, K Lakhotia - arXiv preprint arXiv:2406.10266, 2024 - arxiv.org
In the contemporary era, social media platforms amass an extensive volume of social data
contributed by their users. In order to promptly grasp the opinions and emotional inclinations …
contributed by their users. In order to promptly grasp the opinions and emotional inclinations …
Sentiment Analysis Using Deep Learning Approaches on Multi-Domain Dataset in Telugu Language
Recent advancements in Natural Language Processing (NLP) have made sentiment
analysis an essential component of a variety of NLP jobs, including recommendation …
analysis an essential component of a variety of NLP jobs, including recommendation …