Deep learning and multilingual sentiment analysis on social media data: An overview
MM Agüero-Torales, JIA Salas… - Applied Soft Computing, 2021 - Elsevier
Twenty-four studies on twenty-three distinct languages and eleven social media illustrate the
steady interest in deep learning approaches for multilingual sentiment analysis of social …
steady interest in deep learning approaches for multilingual sentiment analysis of social …
Multilingual sentiment analysis for under-resourced languages: a systematic review of the landscape
KR Mabokela, T Celik, M Raborife - IEEE Access, 2022 - ieeexplore.ieee.org
Sentiment analysis automatically evaluates people's opinions of products or services. It is an
emerging research area with promising advancements in high-resource languages such as …
emerging research area with promising advancements in high-resource languages such as …
Machine learning and deep learning for sentiment analysis across languages: A survey
EM Mercha, H Benbrahim - Neurocomputing, 2023 - Elsevier
The inception and rapid growth of the Web, social media, and other online forums have
resulted in the continuous and rapid generation of opinionated textual data. Several real …
resulted in the continuous and rapid generation of opinionated textual data. Several real …
A comparative study of machine translation for multilingual sentence-level sentiment analysis
Sentiment analysis has become a key tool for several social media applications, including,
analysis of user's opinions about products and services, support for politics during …
analysis of user's opinions about products and services, support for politics during …
Exploring amharic sentiment analysis from social media texts: Building annotation tools and classification models
This paper presents the study of sentiment analysis for Amharic social media texts. As the
number of social media users is ever-increasing, social media platforms would like to …
number of social media users is ever-increasing, social media platforms would like to …
Multilingual sentiment analysis: state of the art and independent comparison of techniques
With the advent of Internet, people actively express their opinions about products, services,
events, political parties, etc., in social media, blogs, and website comments. The amount of …
events, political parties, etc., in social media, blogs, and website comments. The amount of …
BabelSenticNet: A commonsense reasoning framework for multilingual sentiment analysis
SenticNet is a concept-level knowledge base used to develop commonsense reasoning
algorithms for sentiment analysis tasks. One of the challenges that this resource must …
algorithms for sentiment analysis tasks. One of the challenges that this resource must …
An evaluation of machine translation for multilingual sentence-level sentiment analysis
Sentiment analysis has become a key tool for several social media applications, including
analysis of user's opinions about products and services, support to politics during …
analysis of user's opinions about products and services, support to politics during …
A survey of cross-lingual sentiment analysis: Methodologies, models and evaluations
Y Xu, H Cao, W Du, W Wang - Data Science and Engineering, 2022 - Springer
Cross-lingual sentiment analysis (CLSA) leverages one or several source languages to help
the low-resource languages to perform sentiment analysis. Therefore, the problem of lack of …
the low-resource languages to perform sentiment analysis. Therefore, the problem of lack of …
Multilingual sentiment analysis: from formal to informal and scarce resource languages
The ability to analyse online user-generated content related to sentiments (eg, thoughts and
opinions) on products or policies has become a de-facto skillset for many companies and …
opinions) on products or policies has become a de-facto skillset for many companies and …