Results 41 to 50 of about 22,491,724 (165)
Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training [PDF]
arXiv, 2021 Aspect-based sentiment analysis aims to identify the sentiment polarity of a specific aspect in product reviews. We notice that about 30% of reviews do not contain obvious opinion words, but still convey clear human-aware sentiment orientation, which is known as implicit sentiment.
arxiv
Automatic Dream Sentiment Analysis [PDF]
, 2006 In this position paper, we propose a first step toward automatic analysis of sentiments in dreams. 100 dreams were sampled from a dream bank created for a normative study of dreams. Two human judges assigned a score to describe dream sentiments.
De Koninck, Joseph +4 more
core
USA: Universal Sentiment Analysis Model & Construction of Japanese Sentiment Text Classification and Part of Speech Dataset [PDF]
arXiv, 2023 Sentiment analysis is a pivotal task in the domain of natural language processing. It encompasses both text-level sentiment polarity classification and word-level Part of Speech(POS) sentiment polarity determination. Such analysis challenges models to understand text holistically while also extracting nuanced information.
arxiv
Evaluation datasets for Twitter sentiment analysis: a survey and a new dataset, the STS-Gold [PDF]
, 2013 Sentiment analysis over Twitter offers organisations and individuals a fast and effective way to monitor the publics' feelings towards them and their competitors.
Alani, Harith +3 more
core +1 more source
IEEE Access, 2020 In recent years, with the rapid development of Internet technology, online shopping has become a mainstream way for users to purchase and consume. Sentiment analysis of a large number of user reviews on e-commerce platforms can effectively improve user ...
Li Yang, Ying Li, Jin Wang, R. Sherratt
semanticscholar +1 more source
PLoS ONE 10(12): e0144296, 2015, 2015 There is a new generation of emoticons, called emojis, that is increasingly being used in mobile communications and social media. In the past two years, over ten billion emojis were used on Twitter. Emojis are Unicode graphic symbols, used as a shorthand to express concepts and ideas.
arxiv +1 more source
Noise or music? Investigating the usefulness of normalisation for robust sentiment analysis on social media data [PDF]
, 2017 In the past decade, sentiment analysis research has thrived, especially on social media. While this data genre is suitable to extract opinions and sentiment, it is known to be noisy.
De Clercq, Orphée +5 more
core +1 more source
Tensor Fusion Network for Multimodal Sentiment Analysis [PDF]
Conference on Empirical Methods in Natural Language Processing, 2017 Multimodal sentiment analysis is an increasingly popular research area, which extends the conventional language-based definition of sentiment analysis to a multimodal setup where other relevant modalities accompany language.
Amir Zadeh +4 more
semanticscholar +1 more source
A Deep Learning System for Sentiment Analysis of Service Calls [PDF]
arXiv, 2020 Sentiment analysis is crucial for the advancement of artificial intelligence (AI). Sentiment understanding can help AI to replicate human language and discourse. Studying the formation and response of sentiment state from well-trained Customer Service Representatives (CSRs) can help make the interaction between humans and AI more intelligent.
arxiv
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction
, 2019 Target-based sentiment analysis involves opinion target extraction and target sentiment classification. However, most of the existing works usually studied one of these two sub-tasks alone, which hinders their practical use.
Bing, Lidong +3 more
core +1 more source