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Published in 2021 at "Cognitive Computation"
DOI: 10.1007/s12559-020-09806-5
Abstract: Human relationships are influenced by the underlying emotions in their interactions. With the increasing use of social networks, relationships from textual data can also be inferred from online interactions. Such interactions result in massive amount…
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Keywords:
using emotion;
analysis;
relationship identification;
relationship ... See more keywords
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1
Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2880738
Abstract: With the rapid development of mobile Internet applications, it is more and more difficult for mobile users to choose the right commodity in the face of a large amount of commodity information. Recommendation system is…
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Keywords:
recommendation;
raas;
model;
commodity ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2960113
Abstract: Text data analysis of social media is becoming more and more important since it includes the most recent information on what people think about. Likewise, emotion is one of the most valuable parts of human…
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Keywords:
turkish tweets;
deep neural;
neural networks;
emotion ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1669569
Abstract: Aiming at the problems of over reliance on labor and low generalization of traditional emotion analysis methods based on dictionary and machine learning, an emotion analysis model of microblog comment text based on deep learning…
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Keywords:
cnn;
emotion analysis;
model;
text ... See more keywords
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Published in 2022 at "Journal of Environmental and Public Health"
DOI: 10.1155/2022/7123079
Abstract: Aiming at the problems of poor emotional tendency prediction effect and low utilization of syntactic information, this study proposes a big data sentiment analysis method based on neural network. First, the BERT model is used…
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Keywords:
neural network;
big data;
based neural;
emotion analysis ... See more keywords
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1
Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/8208561
Abstract: The goal of Chinese fine-grained emotion analysis is to identify the target words corresponding to fine-grained elements from sentences and determine the corresponding emotional polarity for the target words. Aiming at the problem that the…
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Keywords:
microblog user;
emotion analysis;
analysis;
method ... See more keywords
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Published in 2022 at "Computational Linguistics"
DOI: 10.1162/coli_a_00461
Abstract: Abstract The most prominent tasks in emotion analysis are to assign emotions to texts and to understand how emotions manifest in language. An important observation for natural language processing is that emotions can be communicated…
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Keywords:
dimensional modeling;
emotion;
emotion analysis;
emotions appraisals ... See more keywords
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1
Published in 2022 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2022.852242
Abstract: This study mainly focuses on the emotion analysis method in the application of psychoanalysis based on sentiment recognition. The method is applied to the sentiment recognition module in the server, and the sentiment recognition function…
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Keywords:
neural network;
bil model;
emotion analysis;
convolutional neural ... See more keywords