Systematic reviews in sentiment analysis: a tertiary study
A Ligthart, C Catal, B Tekinerdogan - Artificial intelligence review, 2021 - Springer
With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
Sentiment analysis based on deep learning: A comparative study
NC Dang, MN Moreno-García, F De la Prieta - Electronics, 2020 - mdpi.com
The study of public opinion can provide us with valuable information. The analysis of
sentiment on social networks, such as Twitter or Facebook, has become a powerful means …
sentiment on social networks, such as Twitter or Facebook, has become a powerful means …
Autoencoders and their applications in machine learning: a survey
Autoencoders have become a hot researched topic in unsupervised learning due to their
ability to learn data features and act as a dimensionality reduction method. With rapid …
ability to learn data features and act as a dimensionality reduction method. With rapid …
A survey on concept-level sentiment analysis techniques of textual data
Text mining is one of the branches of data mining and refers to as the computing process of
finding new patterns and relations among datasets which appear not to be related. Data …
finding new patterns and relations among datasets which appear not to be related. Data …
A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques
Nowadays, the development of new computer-based technologies has led to rapid increase
in the volume of user-generated textual content on the website. Patient-written medical and …
in the volume of user-generated textual content on the website. Patient-written medical and …
Dimensional modeling of emotions in text with appraisal theories: Corpus creation, annotation reliability, and prediction
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 …
understand how emotions manifest in language. An important observation for natural …
Vector based sentiment and emotion analysis from text: A survey
As a primary means of communication, texts are used to implicitly or explicitly reflect
emotions. Emotion or sentiment detection from text has emerged as an important and …
emotions. Emotion or sentiment detection from text has emerged as an important and …
Modelling the interplay of metaphor and emotion through multitask learning
Metaphors allow us to convey emotion by connecting physical experiences and abstract
concepts. The results of previous research in linguistics and psychology suggest that …
concepts. The results of previous research in linguistics and psychology suggest that …
Toward robust fault identification of complex industrial processes using stacked sparse-denoising autoencoder with softmax classifier
This article proposes a robust end-to-end deep learning-induced fault recognition scheme
by stacking multiple sparse-denoising autoencoders with a Softmax classifier, called stacked …
by stacking multiple sparse-denoising autoencoders with a Softmax classifier, called stacked …
Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation
Fine renal artery segmentation on abdominal CT angiography (CTA) image is one of the
most important tasks for kidney disease diagnosis and pre-operative planning. It will help …
most important tasks for kidney disease diagnosis and pre-operative planning. It will help …