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A survey on sentiment analysis methods, applications, and challenges
The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …
A systematic review of machine learning techniques for stance detection and its applications
Stance detection is an evolving opinion mining research area motivated by the vast increase
in the variety and volume of user-generated content. In this regard, considerable research …
in the variety and volume of user-generated content. In this regard, considerable research …
An enhanced guided LDA model augmented with BERT based semantic strength for aspect term extraction in sentiment analysis
Aspect level sentiment analysis is a fine-grained task in sentiment analysis. It extracts
aspects and their corresponding sentiment polarity from opinionated text. The first subtask of …
aspects and their corresponding sentiment polarity from opinionated text. The first subtask of …
[HTML][HTML] Attention, sentiments and emotions towards emerging climate technologies on Twitter
Public perception of emerging climate technologies, such as greenhouse gas removal
(GGR) and solar radiation management (SRM), will strongly influence their future …
(GGR) and solar radiation management (SRM), will strongly influence their future …
Exploring public response to ChatGPT with sentiment analysis and knowledge map**
J Zhou, Z Liang, Y Fang, Z Zhou - IEEE Access, 2024 - ieeexplore.ieee.org
Information about artificial intelligence generated content (AIGC) has attracted great
attention from the public. ChatGPT has gained attention from many countries due to its …
attention from the public. ChatGPT has gained attention from many countries due to its …
GA2MIF: Graph and attention based two-stage multi-source information fusion for conversational emotion detection
Multimodal Emotion Recognition in Conversation (ERC) plays an influential role in the field
of human-computer interaction and conversational robotics since it can motivate machines …
of human-computer interaction and conversational robotics since it can motivate machines …
GraphMFT: A graph network based multimodal fusion technique for emotion recognition in conversation
Multimodal machine learning is an emerging area of research, which has received a great
deal of scholarly attention in recent years. Up to now, there are few studies on multimodal …
deal of scholarly attention in recent years. Up to now, there are few studies on multimodal …
Customer sentiment analysis and prediction of halal restaurants using machine learning approaches
Purpose There is a strong prerequisite for organizations to analyze customer review
behavior to evaluate the competitive business environment. The purpose of this study is to …
behavior to evaluate the competitive business environment. The purpose of this study is to …
Context or knowledge is not always necessary: A contrastive learning framework for emotion recognition in conversations
Emotion recognition in conversations (ERC) aims to detect the emotion of utterances in
conversations. Existing efforts generally focus on modeling context-and knowledge-sensitive …
conversations. Existing efforts generally focus on modeling context-and knowledge-sensitive …
Sentimental analysis using supervised learning algorithms
The humongous growth of online-grounded operations, similar to forums and blogs, led to
commentary and reviews related to diurnal conditioning. Sentimental analysis is the process …
commentary and reviews related to diurnal conditioning. Sentimental analysis is the process …