Sentiment analysis of epidemiological surveillance reports on COVID-19 in Greece using machine learning models
C Stefanis, E Giorgi, K Kalentzis… - Frontiers in Public …, 2023 - frontiersin.org
The present research deals with sentiment analysis performed with Microsoft Azure Machine
Learning Studio to classify Facebook posts on the Greek National Public Health …
Learning Studio to classify Facebook posts on the Greek National Public Health …
[HTML][HTML] Infoveillance of the Croatian online media during the COVID-19 pandemic: one-year longitudinal study using natural language processing
Background Online media play an important role in public health emergencies and serve as
essential communication platforms. Infoveillance of online media during the COVID-19 …
essential communication platforms. Infoveillance of online media during the COVID-19 …
Sentiment analysis of tweets and government translations: Assessing China's post-COVID-19 landscape for signs of withering or booming
H Wang, X Wang - Global Media and China, 2023 - journals.sagepub.com
This article aims to gain insights into the prevailing public sentiment during the policy
relaxation period by examining whether the post-COVID-19 landscape reflects signs of …
relaxation period by examining whether the post-COVID-19 landscape reflects signs of …
Deep learning-based sentiment classification in Amharic using multi-lingual datasets
SG Tesfagergish, R Damaševičius… - Computer science and …, 2023 - epubl.ktu.edu
Abstract [eng] The analysis of emotions expressed in natural language text, also known as
sentiment analysis, is a key application of natural language processing (NLP). It involves …
sentiment analysis, is a key application of natural language processing (NLP). It involves …
A Comprehensive Dataset of Spelling Errors and Users' Corrections in Croatian Language
This paper presents a unique and extensive dataset containing over 33 million entries with
pairs in the form “spelling error→ correction” from ispravi. me, the most popular Croatian …
pairs in the form “spelling error→ correction” from ispravi. me, the most popular Croatian …
Retweet prediction based on heterogeneous data sources: the combination of text and multilayer network features
Retweet prediction is an important task in the context of various problems, such as
information spreading analysis, automatic fake news detection, social media monitoring, etc …
information spreading analysis, automatic fake news detection, social media monitoring, etc …
Machine Learning and Deep Learning Sentiment Analysis Models: Case Study on the SENT-COVID Corpus of Tweets in Mexican Spanish
This article presents a comprehensive evaluation of traditional machine learning and deep
learning models in analyzing sentiment trends within the SENT-COVID Twitter corpus …
learning models in analyzing sentiment trends within the SENT-COVID Twitter corpus …
M2SA: Multimodal and Multilingual Model for Sentiment Analysis of Tweets
In recent years, multimodal natural language processing, aimed at learning from diverse
data types, has garnered significant attention. However, there needs to be more clarity when …
data types, has garnered significant attention. However, there needs to be more clarity when …
Balanced reporting and boomerang effect: an analysis of Croatian online news sites vaccination coverage and user comments during the COVID-19 pandemic
The purpose of this paper was to explore online media coverage of COVID-19 vaccination
and user reactions to the different types of coverage. The authors aimed to investigate …
and user reactions to the different types of coverage. The authors aimed to investigate …
Hybrid Natural Language Processing Model for Sentiment Analysis during Natural Crisis
This paper introduces a novel natural language processing (NLP) model as an original
approach to sentiment analysis, with a focus on understanding emotional responses during …
approach to sentiment analysis, with a focus on understanding emotional responses during …