Sentiment analysis for hotel reviews: a systematic literature review
A Ameur, S Hamdi, S Ben Yahia - ACM Computing Surveys, 2023 - dl.acm.org
Sentiment Analysis (SA) helps to automatically and meaningfully discover hotel customers'
satisfaction from their shared experiences and feelings on social media. Several studies …
satisfaction from their shared experiences and feelings on social media. Several studies …
[HTML][HTML] Transformer-based deep learning models for the sentiment analysis of social media data
ST Kokab, S Asghar, S Naz - Array, 2022 - Elsevier
Sentiment analysis (SA) is a widely used contextual mining technique for extracting useful
and subjective information from text-based data. It applies on Natural Language Processing …
and subjective information from text-based data. It applies on Natural Language Processing …
ETCNN: extra tree and convolutional neural network-based ensemble model for COVID-19 tweets sentiment classification
Pandemics influence people negatively and people experience fear and disappointment.
With the global outspread of COVID-19, the sentiments of the general public are …
With the global outspread of COVID-19, the sentiments of the general public are …
[HTML][HTML] Scientific papers citation analysis using textual features and SMOTE resampling techniques
Ascertaining the impact of research is significant for the research community and academia
of all disciplines. The only prevalent measure associated with the quantification of research …
of all disciplines. The only prevalent measure associated with the quantification of research …
A tweet sentiment classification approach using a hybrid stacked ensemble technique
B Gaye, D Zhang, A Wulamu - Information, 2021 - mdpi.com
With the extensive availability of social media platforms, Twitter has become a significant
tool for the acquisition of peoples' views, opinions, attitudes, and emotions towards certain …
tool for the acquisition of peoples' views, opinions, attitudes, and emotions towards certain …
An artificial neural network model for water quality and water consumption prediction
With rapid urbanization, high rates of industrialization, and inappropriate waste disposal,
water quality has been substantially degraded during the past decade. So, water quality …
water quality has been substantially degraded during the past decade. So, water quality …
Railway track fault detection using selective MFCC features from acoustic data
Railway track faults may lead to railway accidents and cause human and financial loss.
Spatial, temporal, and weather elements, and wear and tear, lead to ballast, loose nuts …
Spatial, temporal, and weather elements, and wear and tear, lead to ballast, loose nuts …
Improving the review classification of Google apps using combined feature embedding and deep convolutional neural network model
Online reviews play an integral part in making mobile applications stand out from the large
number of applications available on the Google Play store. Predominantly, users consider …
number of applications available on the Google Play store. Predominantly, users consider …
Comparative study of covid-19 tweets sentiment classification methods
UN Wisesty, R Rismala, W Munggana… - … on information and …, 2021 - ieeexplore.ieee.org
Covid-19 is a disease caused by a virus and has become a pandemic in many countries
around the world. The disease not only affects public health, but also affects other aspects of …
around the world. The disease not only affects public health, but also affects other aspects of …
[HTML][HTML] Comparing Fine-Tuning and Prompt Engineering for Multi-Class Classification in Hospitality Review Analysis
This study compares the effectiveness of fine-tuning Transformer models, specifically BERT,
RoBERTa, DeBERTa, and GPT-2, against using prompt engineering in LLMs like ChatGPT …
RoBERTa, DeBERTa, and GPT-2, against using prompt engineering in LLMs like ChatGPT …