A survey on aspect-based sentiment classification

G Brauwers, F Frasincar - ACM Computing Surveys, 2022 - dl.acm.org
With the constantly growing number of reviews and other sentiment-bearing texts on the
Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect …

A novel deep learning-based sentiment analysis method enhanced with emojis in microblog social networks

X Li, J Zhang, Y Du, J Zhu, Y Fan… - Enterprise Information …, 2023 - Taylor & Francis
To exactly classify sentiments of microblog reviews with emojis in microblog social networks,
this paper first proposes an emoji vectorisation method to achieve emoji vectors. Then, an …

Deep Persian sentiment analysis: Cross-lingual training for low-resource languages

R Ghasemi, SA Ashrafi Asli… - Journal of Information …, 2022 - journals.sagepub.com
With the advent of deep neural models in natural language processing tasks, having a large
amount of training data plays an essential role in achieving accurate models. Creating valid …

Application of quantum natural language processing for language translation

M Abbaszade, V Salari, SS Mousavi, M Zomorodi… - IEEE …, 2021 - ieeexplore.ieee.org
In this paper, we develop compositional vector-based semantics of positive transitive
sentences using quantum natural language processing (Q-NLP) to compare the …

Student sentiment classification model based on GRU neural network and TF-IDF algorithm

H Yu, Y Ji, Q Li - Journal of Intelligent & Fuzzy Systems, 2021 - content.iospress.com
Due to the diversity of text expressions, the text sentiment classification algorithm based on
semantic understanding is difficult to establish a perfect sentiment dictionary and sentence …

A Transfer-Based Deep Learning Model for Persian Emotion Classification

A Khodaei, A Bastanfard, H Saboohi… - Multimedia Tools and …, 2024 - Springer
Sentiment analysis is the technical process of analyzing generated data to detect emotions.
Emotion detection in text data involves identifying the sentiments expressed in the data …