New avenues in opinion mining and sentiment analysis
New Avenues in Opinion Mining and Sentiment Analysis Page 1 New Avenues in Opinion
Mining and Sentiment Analysis Erik Cambria, Member, IEEE, Björn Schuller, Member, IEEE …
Mining and Sentiment Analysis Erik Cambria, Member, IEEE, Björn Schuller, Member, IEEE …
A survey of emotion recognition methods with emphasis on E-Learning environments
M Imani, GA Montazer - Journal of Network and Computer Applications, 2019 - Elsevier
Emotions play an important role in the learning process. Considering the learner's emotions
is essential for electronic learning (e-learning) systems. Some researchers have proposed …
is essential for electronic learning (e-learning) systems. Some researchers have proposed …
Mentalbert: Publicly available pretrained language models for mental healthcare
Mental health is a critical issue in modern society, and mental disorders could sometimes
turn to suicidal ideation without adequate treatment. Early detection of mental disorders and …
turn to suicidal ideation without adequate treatment. Early detection of mental disorders and …
The hourglass of emotions
Human emotions and their modelling are increasingly understood to be a crucial aspect in
the development of intelligent systems. Over the past years, in fact, the adoption of …
the development of intelligent systems. Over the past years, in fact, the adoption of …
Opinion mining and information fusion: a survey
JA Balazs, JD Velásquez - Information Fusion, 2016 - Elsevier
Abstract Interest in Opinion Mining has been growing steadily in the last years, mainly
because of its great number of applications and the scientific challenge it poses …
because of its great number of applications and the scientific challenge it poses …
Analytical mapping of opinion mining and sentiment analysis research during 2000–2015
The new transformed read-write Web has resulted in a rapid growth of user generated
content on the Web resulting into a huge volume of unstructured data. A substantial part of …
content on the Web resulting into a huge volume of unstructured data. A substantial part of …
Meta-level sentiment models for big social data analysis
People react to events, topics and entities by expressing their personal opinions and
emotions. These reactions can correspond to a wide range of intensities, from very mild to …
emotions. These reactions can correspond to a wide range of intensities, from very mild to …
A novel context-aware multimodal framework for persian sentiment analysis
Most recent works on sentiment analysis have exploited the text modality. However, millions
of hours of video recordings posted on social media platforms everyday hold vital …
of hours of video recordings posted on social media platforms everyday hold vital …
[图书][B] Sentic computing: Techniques, tools, and applications
In this book common sense computing techniques are further developed and applied to
bridge the semantic gap between word-level natural language data and the concept-level …
bridge the semantic gap between word-level natural language data and the concept-level …