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...

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

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

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...

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

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

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

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

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

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

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

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

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

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

learning models can perform complex tasks such as object detection, sentiment analysis, and speech recognition with greater precision. Image classification...

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

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

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

Anti-Indian sentiment or anti-Indianism, also called Indophobia, refers to prejudice, collective hatred, and discrimination which is directed at Indian...

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...

as discourse markers. In December 2015, a sentiment analysis of emoji was published, and the Emoji Sentiment Ranking 1.0 was provided. In 2016, a musical...

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

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

Anti-Americanism (also called anti-American sentiment and Americanophobia) is a term that can describe several sentiments and positions including opposition to...

"How crowd accidents are reported in the news media: Lexical and sentiment analysis". Safety Science. 172: 106423. arXiv:2309.14633. doi:10.1016/j.ssci...

Launches Groundbreaking Platform For Smart Contract Auditing, Market Sentiment Analysis". DNA India. Retrieved 2025-04-28. Tiwari, Shivani. "Xanfi: Free,...