Deep learning for Arabic subjective sentiment analysis: Challenges and research opportunities
The fields of machine learning and Web technologies have witnessed significant
development in the last years. This caused a ceaseless and rapid growth in sharing of the …
development in the last years. This caused a ceaseless and rapid growth in sharing of the …
Challenges and opportunities of text-based emotion detection: A survey
Emotion detection has become an intriguing issue for researchers owing to its
psychological, social, and commercial significance. People express their feelings directly or …
psychological, social, and commercial significance. People express their feelings directly or …
Emotion detection in hinglish (hindi+ english) code-mixed social media text
Human communication is often embedded with emotion and it can be expressed via
different mediums like vocal interaction, texts, non-verbal communication like facial …
different mediums like vocal interaction, texts, non-verbal communication like facial …
Looking into gait for perceiving emotions via bilateral posture and movement graph convolutional networks
Emotions can be perceived from a person's gait, ie, their walking style. Existing methods on
gait emotion recognition mainly leverage the posture information as input, but ignore the …
gait emotion recognition mainly leverage the posture information as input, but ignore the …
Emotion detection in roman urdu text using machine learning
Emotion detection is playing a very important role in our life. People express their emotions
in different ways ie face expression, gestures, speech, and text. This research focuses on …
in different ways ie face expression, gestures, speech, and text. This research focuses on …
A Survey of Cutting-edge Multimodal Sentiment Analysis
The rapid growth of the internet has reached the fourth generation, ie, web 4.0, which
supports Sentiment Analysis (SA) in many applications such as social media, marketing, risk …
supports Sentiment Analysis (SA) in many applications such as social media, marketing, risk …
[HTML][HTML] Deep learning with anaphora resolution for the detection of tweeters with depression: Algorithm development and validation study
Background: Mental health problems are widely recognized as a major public health
challenge worldwide. This concern highlights the need to develop effective tools for …
challenge worldwide. This concern highlights the need to develop effective tools for …
Does keystroke dynamics tell us about emotions? A systematic literature review and dataset construction
There is strong evidence that emotional states affect the Human's performance and decision-
making. Therefore, understanding Human emotions has become of great concern in the field …
making. Therefore, understanding Human emotions has become of great concern in the field …
[HTML][HTML] Affect detection from arabic tweets using ensemble and deep learning techniques
Affect detection from text has captured the attention of researchers recently. This is due to
the rapid use of social media sites (eg Twitter, Facebook), which allows users to express …
the rapid use of social media sites (eg Twitter, Facebook), which allows users to express …
Hell hath no fury? correcting bias in the nrc emotion lexicon
There have been several attempts to create an accurate and thorough emotion lexicon in
English, which identifies the emotional content of words. Of the several commonly used …
English, which identifies the emotional content of words. Of the several commonly used …