Results 71 to 80 of about 265,995 (181)

Comparison of The Accuracy of K-Nearest Neighbor and Roberta Algorithm in Analysis of Sentiment on Miawaug Youtube Channel Comments

Teknika
This study aims to evaluate the accuracy of two algorithms, K-Nearest Neighbor (KNN) and Robustly Optimized BERT Approach (RoBERTa), in analyzing sentiment within comments on MiawAug’s YouTube channel.
Fachrudin Okta Rahmawan, Hanafi, Windha Mega Pradnya Dhuita   +2 more
doaj   +1 more source

Sentiment classification using negation as a proxy for negative sentiment [PDF]

, 2016
We explore the relationship between negated text and negative sentiment in the task of sentiment classification. We propose a novel adjustment factor based on negation occurrences as a proxy for negative sentiment that can be applied to lexicon-based classifiers equipped with a negation detection pre-processing step.
Ohana, Bruno, Tierney, Brendan, Delany, Sarah Jane   +2 more
openaire   +1 more source

Improving sentiment classification using a RoBERTa-based hybrid model. [PDF]

Front Hum Neurosci, 2023
Semary NA, Ahmed W, Amin K, Pławiak P, Hammad M.   +4 more
europepmc   +1 more source

Boosting ChatGPT Sentiment Classification with Stacking and Majority Voting on Skewed Data

Vietnam Journal of Computer Science
In the field of natural language processing (NLP), sentiment analysis is very important for comprehending user views and opinions. By using the Kaggle ChatGPT sentiment analysis dataset, this work investigates the use of sophisticated ensemble machine ...
Dharmaraj R. Patil
doaj   +1 more source

Lexicon‐based fine‐tuning of multilingual language models for low‐resource language sentiment analysis

CAAI Transactions on Intelligence Technology
Pre‐trained multilingual language models (PMLMs) such as mBERT and XLM‐R have shown good cross‐lingual transferability. However, they are not specifically trained to capture cross‐lingual signals concerning sentiment words.
Vinura Dhananjaya, Surangika Ranathunga, Sanath Jayasena   +2 more
doaj   +1 more source

Quantum computing and machine learning for Arabic language sentiment classification in social media. [PDF]

Sci Rep, 2023
Omar A, Abd El-Hafeez T.
europepmc   +1 more source

Multimodal Sentiment Classifier Framework for Different Scene Contexts

Applied Sciences
Sentiment analysis (SA) is an effective method for determining public opinion. Social media posts have been the subject of much research, due to the platforms’ enormous and diversified user bases that regularly share thoughts on nearly any subject ...
Nelson Silva, Pedro J. S. Cardoso, João M. F. Rodrigues   +2 more
doaj   +1 more source

Performance analysis of aspect-level sentiment classification task based on different deep learning models. [PDF]

PeerJ Comput Sci, 2023
Cao F, Huang X.
europepmc   +1 more source

A Hybrid Deep Learning Approach for Enhanced Sentiment Classification and Consistency Analysis in Customer Reviews

Mathematics
Consumer reviews play a pivotal role in shaping purchasing decisions and influencing the reputation of businesses in today’s digital economy. This paper presents a novel hybrid deep learning model, WDE-CNN-LSTM, designed to enhance the sentiment ...
Shaymaa E. Sorour, Abdulrahman Alojail, Amr El-Shora, Ahmed E. Amin, Amr A. Abohany   +4 more
doaj   +1 more source

UsbVisdaNet: User Behavior Visual Distillation and Attention Network for Multimodal Sentiment Classification. [PDF]

Sensors (Basel), 2023
Hou S, Tuerhong G, Wushouer M.
europepmc   +1 more source