A comprehensive survey on sentiment analysis: Approaches, challenges and trends
Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …
Multimodal sentiment analysis: a survey of methods, trends, and challenges
Sentiment analysis has come long way since it was introduced as a natural language
processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying …
processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying …
Mel frequency cepstral coefficient and its applications: A review
ZK Abdul, AK Al-Talabani - IEEE Access, 2022 - ieeexplore.ieee.org
Feature extraction and representation has significant impact on the performance of any
machine learning method. Mel Frequency Cepstrum Coefficient (MFCC) is designed to …
machine learning method. Mel Frequency Cepstrum Coefficient (MFCC) is designed to …
[HTML][HTML] Multimodal emotion recognition on RAVDESS dataset using transfer learning
Emotion Recognition is attracting the attention of the research community due to the multiple
areas where it can be applied, such as in healthcare or in road safety systems. In this paper …
areas where it can be applied, such as in healthcare or in road safety systems. In this paper …
The muse 2023 multimodal sentiment analysis challenge: Mimicked emotions, cross-cultural humour, and personalisation
The Multimodal Sentiment Analysis Challenge (MuSe) 2023 is a set of shared tasks
addressing three different contemporary multimodal affect and sentiment analysis problems …
addressing three different contemporary multimodal affect and sentiment analysis problems …
[PDF][PDF] The interspeech 2020 computational paralinguistics challenge: Elderly emotion, breathing & masks
Abstract The INTERSPEECH 2020 Computational Paralinguistics Challenge addresses
three different problems for the first time in a research competition under well-defined …
three different problems for the first time in a research competition under well-defined …
AVEC 2018 workshop and challenge: Bipolar disorder and cross-cultural affect recognition
The Audio/Visual Emotion Challenge and Workshop (AVEC 2018)" Bipolar disorder, and
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of …
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of …
The muse 2022 multimodal sentiment analysis challenge: humor, emotional reactions, and stress
The Multimodal Sentiment Analysis Challenge (MuSe) 2022 is dedicated to multimodal
sentiment and emotion recognition. For this year's challenge, we feature three datasets:(i) …
sentiment and emotion recognition. For this year's challenge, we feature three datasets:(i) …
A survey on sentiment analysis and opinion mining for social multimedia
Z Li, Y Fan, B Jiang, T Lei, W Liu - Multimedia Tools and Applications, 2019 - Springer
Social media sentiment analysis (also known as opinion mining) which aims to extract
people's opinions, attitudes and emotions from social networks has become a research …
people's opinions, attitudes and emotions from social networks has become a research …
Emonet: A transfer learning framework for multi-corpus speech emotion recognition
In this manuscript, the topic of multi-corpus Speech Emotion Recognition (SER) is
approached from a deep transfer learning perspective. A large corpus of emotional speech …
approached from a deep transfer learning perspective. A large corpus of emotional speech …