Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and...

Multimodal sentiment analysis is a technology for traditional text-based sentiment analysis, which includes modalities such as audio and visual data. It...

18th-century literary genre Market sentiment, optimism or pessimism in financial and commodity markets Sentiment analysis, automatic detection of opinions...

cares about sarcastic tweets? Investigating the impact of sarcasm on sentiment analysis". Proceedings of the Conference on Language Resources and Evaluation...

to overcome limitations. Multimodal sentiment analysis involves analyzing text, audio, and visual data for sentiment classification. GPT-4, a multimodal...

investors are also known to measure market sentiment through the use of news analytics, which include sentiment analysis on textual stories about companies and...

for tasks such as natural language processing, sentiment analysis, translation, and cluster analysis. These datasets consist of sounds and sound features...

taxonomies, sentiment analysis, document summarization, and entity relation modeling (i.e., learning relations between named entities). Text analysis involves...

algospeak, especially with example sentences. Another study shows that sentiment analysis models often rate negative comments incorporating simple letter–number...

this task is token classification. Sentiment analysis (see also Multimodal sentiment analysis) Sentiment analysis is a computational method used to identify...

as indicators and sentiment analysis, are considered secondary. However, many technical analysts reach outside pure technical analysis, combining other...

businesses to judge market sentiment and make better business decisions. News analytics are usually derived through automated text analysis and applied to digital...

emotion and sentiment. MELD provides conversations in video format and hence suitable for multimodal emotion recognition and sentiment analysis. MELD is...

quiz/examinations as grading criteria. He is best known for his research on sentiment analysis (also called opinion mining), fake/deceptive opinion detection, and...

boost the performance in NLP tasks such as syntactic parsing and sentiment analysis. In distributional semantics, a quantitative methodological approach...

statistical measures of emotional context through sentiment analysis programs. The accuracy of a sentiment analysis system is, in principle, how well it agrees...

content analysis methods for political texts." Political analysis 21.3 (2013): 267-297. Nasukawa, Tetsuya, and Jeonghee Yi. "Sentiment analysis: Capturing...

form of analysis used by traders on the markets, other popular forms of market/trading analysis include technical analysis, sentiment analysis and fundamental...

Analytics provides entity and theme extraction, topic categorization, sentiment analysis and document summarization capabilities via the embedded AUTINDEX...

on the analysis of non-denotational meaning, including computational analysis of language stylistics, sentiment analysis, and metaphor analysis. He has...

and routing, sentiment analysis, and information extraction require more sophisticated models and typically more processing and analysis of the information...

natural language processing and known for her work on subjectivity, sentiment analysis, opinion mining, discourse processing, and word-sense disambiguation...

relations and sentiment analysis). The purpose of the SemEval and Senseval exercises is to evaluate semantic analysis systems. "Semantic Analysis" refers to...

Opinion plays a vital role in uncovering some critical decisions. Sentiment analysis or opinion mining is a method used to mine the thoughts or feelings...

cross-modal analysis and tasks. These models enable applications like image captioning, visual question answering, and multimodal sentiment analysis. To embed...

Interaction: His emotion model has been used in AI development to improve sentiment analysis, chatbots, and affective computing, where machines recognize and respond...

used for business intelligence and competitive analysis of web sites, sentiment analysis, content analysis of open-ended questions, theme extraction from...

most relevant sentences from the original text. Sentiment analysis involves determining the sentiment or emotion expressed in a piece of text, such as...

enhances performance in cross-media analysis tasks such as video classification, event detection, and sentiment analysis. It also supports cross-modal retrieval...

Toloka facilitates optical character recognition and classification, sentiment analysis, named-entity recognition, and search relevance evaluation. It also...