Results 61 to 70 of about 265,995 (181)
IEEE Access, 2020 Sentiment lexicon, which provides sentiment information for words, plays an important role in sentiment analysis task. Currently, most of sentiment lexicons have only one sentiment polarity for each word and ignore sentimental ambiguity.
Fulian Yin +3 more
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A comparative study of Bayesian models for unsupervised sentiment detection
, 2010 This paper presents a comparative study of three closely related Bayesian models for unsupervised document level sentiment classification, namely, the latent sentiment model (LSM), the joint sentimenttopic (JST) model, and the Reverse-JST model ...
Everson, Richard +2 more
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Multi-Task Learning Model Based on Multi-Scale CNN and LSTM for Sentiment Classification
IEEE Access, 2020 Sentiment classification is an interesting and crucial research topic in the field of natural language processing (NLP). Data-driven methods, including machine learning and deep learning techniques, provide one direct and effective solution to solve the ...
Ning Jin +4 more
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Thumbs up? Sentiment Classification using Machine Learning Techniques
, 2002 We consider the problem of classifying documents not by topic, but by overall sentiment, e.g., determining whether a review is positive or negative. Using movie reviews as data, we find that standard machine learning techniques definitively outperform ...
Lee, Lillian +2 more
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Research on text sentiment classification based on improved feature selection method
Dianxin kexue, 2018 An improved information gain feature selection method based on sentiment dictionary was proposed.Firstly,aiming at the existing problems of information gain feature selection,such as paying attention to the frequency of feature word and ignoring the ...
Mingxin LIU, Jing CHEN, Qiyuan WANG
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A Lexicon-Enhanced Attention Network for Aspect-Level Sentiment Analysis
IEEE Access, 2020 Aspect-level sentiment classification is a fine-grained task in sentiment analysis. In recent years, researchers have realized the importance of the relationship between aspect term and sentence and many classification models based on deep learning ...
Zhiying Ren +5 more
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Improving Implicit Sentiments Analysis via Explanations of Multiple Perspectives
IEEE AccessImplicit sentiment expressions convey emotions indirectly, through context or factual statements, rather than explicit opinion words. Recent research on implicit sentiment analysis overlooks the fact that various individuals can interpret the same ...
An Wang +5 more
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TASCI: transformers for aspect-based sentiment analysis with contextual intent integration [PDF]
PeerJ Computer ScienceIn this article, we present a novel Transformer-Based Aspect-Level Sentiment Classification with Intent (TASCI) model, designed to enhance sentiment analysis by integrating aspect-level sentiment classification with intent analysis. Traditional sentiment
Hassan Nazeer Chaudhry +5 more
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Latent Sentiment Model for Weakly-Supervised Cross-Lingual Sentiment Classification [PDF]
, 2011 In this paper, we present a novel weakly-supervised method for crosslingual sentiment analysis. In specific, we propose a latent sentiment model (LSM) based on latent Dirichlet allocation where sentiment labels are considered as topics. Prior information extracted from English sentiment lexicons through machine translation are incorporated into LSM ...
openaire +1 more source
Hierarchical micro-blog sentiment classification based on feature fusion
Dianxin kexue, 2016 Sentiment classification is an important issue of opinion mining.It has a high application value to classify sentiment in micro-blogs.As traditional feature selection method has semantic gap,a neural network language model was used to propose a deep ...
Xianying ZHU +5 more
doaj +2 more sources