Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions
Sentiment analysis (SA) has gained much traction In the field of artificial intelligence (AI) and
natural language processing (NLP). There is growing demand to automate analysis of user …
natural language processing (NLP). There is growing demand to automate analysis of user …
A systematic review on affective computing: Emotion models, databases, and recent advances
Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
A comprehensive survey on sentiment analysis: Approaches, challenges and trends
Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …
[HTML][HTML] A review on sentiment analysis from social media platforms
M Rodríguez-Ibánez, A Casánez-Ventura… - Expert Systems with …, 2023 - Elsevier
Sentiment analysis has proven to be a valuable tool to gauge public opinion in different
disciplines. It has been successfully employed in financial market prediction, health issues …
disciplines. It has been successfully employed in financial market prediction, health issues …
Sentiment analysis using deep learning architectures: a review
A Yadav, DK Vishwakarma - Artificial Intelligence Review, 2020 - Springer
Social media is a powerful source of communication among people to share their sentiments
in the form of opinions and views about any topic or article, which results in an enormous …
in the form of opinions and views about any topic or article, which results in an enormous …
A comprehensive survey on word representation models: From classical to state-of-the-art word representation language models
Word representation has always been an important research area in the history of natural
language processing (NLP). Understanding such complex text data is imperative, given that …
language processing (NLP). Understanding such complex text data is imperative, given that …
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 review of affective computing: From unimodal analysis to multimodal fusion
Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …
researchers and practitioners from various fields, ranging from artificial intelligence, natural …
Fusion in stock market prediction: a decade survey on the necessity, recent developments, and potential future directions
A Thakkar, K Chaudhari - Information Fusion, 2021 - Elsevier
Investment in a financial market is aimed at getting higher benefits; this complex market is
influenced by a large number of events wherein the prediction of future market dynamics is …
influenced by a large number of events wherein the prediction of future market dynamics is …
A review of natural language processing techniques for opinion mining systems
S Sun, C Luo, J Chen - Information fusion, 2017 - Elsevier
As the prevalence of social media on the Internet, opinion mining has become an essential
approach to analyzing so many data. Various applications appear in a wide range of …
approach to analyzing so many data. Various applications appear in a wide range of …