A review of text style transfer using deep learning
M Toshevska, S Gievska - IEEE Transactions on Artificial …, 2021 - ieeexplore.ieee.org
Style is an integral component of a sentence indicated by the choice of words a person
makes. Different people have different ways of expressing themselves; however, they adjust …
makes. Different people have different ways of expressing themselves; however, they adjust …
A convolutional stacked bidirectional LSTM with a multiplicative attention mechanism for aspect category and sentiment detection
TE Trueman, E Cambria - Cognitive Computation, 2021 - Springer
Traditionally, sentiment analysis is a binary classification task that aims to categorize a piece
of text as positive or negative. This approach, however, can be too simplistic when the text …
of text as positive or negative. This approach, however, can be too simplistic when the text …
OntoSenticNet 2: Enhancing reasoning within sentiment analysis
Sentiment analysis is a trending topic that has not yet exhausted its attractiveness, despite
the huge research effort carried out in the last 15 years. One of the most promising directions …
the huge research effort carried out in the last 15 years. One of the most promising directions …
DEAR-MULSEMEDIA: Dataset for emotion analysis and recognition in response to multiple sensorial media
Traditionally, emotion recognition is performed in response to stimuli that engage either one
(vision: image or hearing: audio) or two (vision and hearing: video) human senses. An …
(vision: image or hearing: audio) or two (vision and hearing: video) human senses. An …
[HTML][HTML] A review of feature fusion-based media popularity prediction methods
With the popularization of social media, the way of information transmission has changed,
and the prediction of information popularity based on social media platforms has attracted …
and the prediction of information popularity based on social media platforms has attracted …
Ensemble application of bidirectional LSTM and GRU for aspect category detection with imbalanced data
E-commerce websites produce a large number of online reviews, posts, and comments
about a product or service. These reviews are used to assist consumers in buying or …
about a product or service. These reviews are used to assist consumers in buying or …
Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning
The Chinese pronunciation system offers two characteristics that distinguish it from other
languages: deep phonemic orthography and intonation variations. In this paper, we …
languages: deep phonemic orthography and intonation variations. In this paper, we …
A Black‐Box Attack Method against Machine‐Learning‐Based Anomaly Network Flow Detection Models
S Guo, J Zhao, X Li, J Duan, D Mu… - Security and …, 2021 - Wiley Online Library
In recent years, machine learning has made tremendous progress in the fields of computer
vision, natural language processing, and cybersecurity; however, we cannot ignore that …
vision, natural language processing, and cybersecurity; however, we cannot ignore that …
Gender-based multi-aspect sentiment detection using multilabel learning
Sentiment analysis is an important task in the field of natural language processing that aims
to gauge and predict people's opinions from large amounts of data. In particular, gender …
to gauge and predict people's opinions from large amounts of data. In particular, gender …
Rating prediction of peer-to-peer accommodation through attributes and topics from customer review
A Subroto, M Christianis - Journal of Big Data, 2021 - Springer
This study aims to predict customers' behavior in classifying their reviews as high rated or
low rated using associated attributes and topics found in the review. Knowing customer …
low rated using associated attributes and topics found in the review. Knowing customer …