Considering emotions and contextual factors in music recommendation: a systematic literature review
In recent years, several music recommendation systems have been developed with the aim
of incorporating valuable information into the user's modeling and recommendation process …
of incorporating valuable information into the user's modeling and recommendation process …
Investigating ChatGPT and cybersecurity: A perspective on topic modeling and sentiment analysis
Abstract In early 2023, the Artificial Intelligence (AI) industry experienced a significant
advancement with the emergence of OpenAI's ChatGPT, a research product that …
advancement with the emergence of OpenAI's ChatGPT, a research product that …
Context-aware recommender systems in the music domain: A systematic literature review
A Lozano Murciego, DM Jiménez-Bravo… - Electronics, 2021 - mdpi.com
The design of recommendation algorithms aware of the user's context has been the subject
of great interest in the scientific community, especially in the music domain where contextual …
of great interest in the scientific community, especially in the music domain where contextual …
Emotion based music recommendation system using wearable physiological sensors
Most of the existing music recommendation systems use collaborative or content based
recommendation engines. However, the music choice of a user is not only dependent to the …
recommendation engines. However, the music choice of a user is not only dependent to the …
A knowledge-based recommendation system that includes sentiment analysis and deep learning
Online social networks provide relevant information on users' opinion about different
themes. Thus, applications, such as monitoring and recommendation systems (RS) can …
themes. Thus, applications, such as monitoring and recommendation systems (RS) can …
An emotion-based personalized music recommendation framework for emotion improvement
Z Liu, W Xu, W Zhang, Q Jiang - Information Processing & Management, 2023 - Elsevier
Music has a close relationship with people's emotion and mental status. Music
recommendation has both economic and social benefits. Unfortunately, most existing music …
recommendation has both economic and social benefits. Unfortunately, most existing music …
Movie recommendation system using sentiment analysis from microblogging data
Recommendation systems (RSs) have garnered immense interest for applications in e-
commerce and digital media. Traditional approaches in RSs include such as collaborative …
commerce and digital media. Traditional approaches in RSs include such as collaborative …
An approach to integrating sentiment analysis into recommender systems
CN Dang, MN Moreno-García, FD Prieta - Sensors, 2021 - mdpi.com
Recommender systems have been applied in a wide range of domains such as e-
commerce, media, banking, and utilities. This kind of system provides personalized …
commerce, media, banking, and utilities. This kind of system provides personalized …
Multichannel CNN-BLSTM architecture for speech emotion recognition system by fusion of magnitude and phase spectral features using DCCA for consumer …
GA Prabhakar, B Basel, A Dutta… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Conventional Speech Emotion Recognition (SER) approaches put more emphasis on
extracting magnitude spectrum-based features, such as Mel Frequency Cepstral Coefficients …
extracting magnitude spectrum-based features, such as Mel Frequency Cepstral Coefficients …
Tourism mobile app with aspect-based sentiment classification framework for tourist reviews
Tourist reviews are information sources for travelers to know about tourist places.
Unfortunately, some reviews are irrelevant and become noisy data. Aspect-based sentiment …
Unfortunately, some reviews are irrelevant and become noisy data. Aspect-based sentiment …