Sentiment lexicons and non-English languages: a survey
M Kaity, V Balakrishnan - Knowledge and Information Systems, 2020 - Springer
The ever-increasing number of Internet users and online services, such as Amazon, Twitter
and Facebook has rapidly motivated people to not just transact using the Internet but to also …
and Facebook has rapidly motivated people to not just transact using the Internet but to also …
[PDF][PDF] Building Chinese affective resources in valence-arousal dimensions
An increasing amount of research has recently focused on representing affective states as
continuous numerical values on multiple dimensions, such as the valence-arousal (VA) …
continuous numerical values on multiple dimensions, such as the valence-arousal (VA) …
Improving early prediction of academic failure using sentiment analysis on self‐evaluated comments
This study presents a model for the early identification of students who are likely to fail in an
academic course. To enhance predictive accuracy, sentiment analysis is used to identify …
academic course. To enhance predictive accuracy, sentiment analysis is used to identify …
Community-based weighted graph model for valence-arousal prediction of affective words
Compared to the categorical approach that represents affective states as several discrete
classes (eg, positive and negative), the dimensional approach represents affective states as …
classes (eg, positive and negative), the dimensional approach represents affective states as …
[PDF][PDF] Predicting valence-arousal ratings of words using a weighted graph method
Compared to the categorical approach that represents affective states as several discrete
classes (eg, positive and negative), the dimensional approach represents affective states as …
classes (eg, positive and negative), the dimensional approach represents affective states as …
The impact of sentiment features on the sentiment polarity classification in Persian reviews
Natural language processing (NLP) techniques can prove relevant to a variety of specialties
in the field of cognitive science, including sentiment analysis. This paper investigates the …
in the field of cognitive science, including sentiment analysis. This paper investigates the …
Exploring Distributional Representations and Machine Translation for Aspect-based Cross-lingual Sentiment Classification.
Cross-lingual sentiment classification (CLSC) seeks to use resources from a source
language in order to detect sentiment and classify text in a target language. Almost all …
language in order to detect sentiment and classify text in a target language. Almost all …
[PDF][PDF] Subjectivity analysis in opinion mining—a systematic literature review
Subjectivity analysis determines existence of subjectivity in text using subjective clues. It is
the first task in opinion mining process. The difference between subjectivity analysis and …
the first task in opinion mining process. The difference between subjectivity analysis and …
Semantic aspects in sentiment analysis
Abstract Semantics plays an important role in the accurate analysis of the context of a
sentiment expression. We analyze this role from two perspectives: the way semantics is …
sentiment expression. We analyze this role from two perspectives: the way semantics is …
ArAutoSenti: automatic annotation and new tendencies for sentiment classification of Arabic messages
A corpus-based sentiment analysis approach for messages written in Arabic and its dialects
is presented and implemented. The originality of this approach resides in the automation …
is presented and implemented. The originality of this approach resides in the automation …