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Published in 2021 at "Soft Computing"
DOI: 10.1007/s00500-020-05160-8
Abstract: With the advancements of communication technology, the growth in the number of blogs has been remarkable. Information sharing has been an interesting matter of interest for researches, as people contribute to information shared through the…
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Keywords:
sentiment classification;
key sentences;
blog comments;
micro blog ... See more keywords
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Published in 2022 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06660-w
Abstract: In the field of e-commerce applications, nowadays the aspect-based sentiment analysis has become vital and every consumer started focusing on various aspects of the product before making the purchase decision through online portals like Amazon,…
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Keywords:
aspect based;
sentiment classification;
sentiment;
neural network ... See more keywords
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Published in 2017 at "Multimedia Systems"
DOI: 10.1007/s00530-017-0550-0
Abstract: As a fundamental task of sentiment analysis, document level sentiment classification aims to predict user’s overall sentiment (e.g., positive or negative) towards the target in a document. The document usually consists of various opinion sentences…
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Keywords:
sentiment classification;
document;
opinion sentences;
sentiment ... See more keywords
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Published in 2017 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-017-1054-0
Abstract: Sentiment classification plays an important role in everyday life, in political activities, activities of commodity production and commercial activities. Finding a time-effective and highly accurate solution to the classification of emotions is challenging. Today, there…
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Keywords:
new model;
english sentiment;
sentiment;
model ... See more keywords
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Published in 2017 at "Applied Intelligence"
DOI: 10.1007/s10489-017-1098-6
Abstract: Social media sites and applications, including Facebook, YouTube, Twitter and blogs, have become major social media attractions today. The huge amount of information from this medium has become an attractive resource for organisations to monitor…
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Keywords:
classification;
sentiment;
twitter;
sentiment classification ... See more keywords
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Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-017-1693-7
Abstract: For the current online reviews sentiment classification method, there are some problems such as serious text sparseness and coarse granularity of sentiment calculation. In this paper, the emotion in online reviews is divided into four…
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Keywords:
sentiment classification;
emotion;
approach;
online reviews ... See more keywords
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Published in 2021 at "Information Systems Frontiers"
DOI: 10.1007/s10796-021-10185-x
Abstract: The prevalence of online user-generated content has attracted great interest in textual sentiment analysis, which provides a low-cost yet effective way to discern consumers and markets. A mainstream of sentiment analysis is to construct a…
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Keywords:
classification;
holes sentiment;
sentiment;
identifying structural ... See more keywords
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Published in 2019 at "Evolving Systems"
DOI: 10.1007/s12530-017-9187-7
Abstract: Many researchers, applications and fields of study have researched and used many works concerning the sentiment classification. Each model (or method) of the sentiment analysis has many advantages and many disadvantages. Thus, we see that…
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Keywords:
sentiment classification;
sentiment;
model;
vietnamese documents ... See more keywords
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Published in 2020 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-020-02468-z
Abstract: Text based social media has become one of important communication tools between customers and enterprises. In social media, users can easily express their opinions and evaluation regarding products or services. These online user experiences, especially…
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Keywords:
sentiment classification;
feature selection;
classification;
sentiment ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.11.023
Abstract: Abstract Existing studies learn sentiment-specific word representations to boost the performance of Twitter sentiment classification, via encoding both n-gram and distant supervised tweet sentiment information in learning process. Pioneer efforts explicitly or implicitly assume that…
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Keywords:
word;
sentiment;
twitter sentiment;
sentiment classification ... See more keywords
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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.01.024
Abstract: Abstract Aspect-based sentiment classification aims to predict the sentiment polarity of an aspect term in a sentence instead of the sentiment polarity of the entire sentence. Neural networks have been used for this task, and…
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Keywords:
based sentiment;
multi attention;
sentiment;
aspect based ... See more keywords