Current challenges and visions in music recommender systems research
Music recommender systems (MRSs) have experienced a boom in recent years, thanks to
the emergence and success of online streaming services, which nowadays make available …
the emergence and success of online streaming services, which nowadays make available …
Extraction of emotions from multilingual text using intelligent text processing and computational linguistics
Abstract Extraction of Emotions from Multilingual Text posted on social media by different
categories of users is one of the crucial tasks in the field of opining mining and sentiment …
categories of users is one of the crucial tasks in the field of opining mining and sentiment …
[PDF][PDF] Content-based multimedia recommendation systems: definition and application domains
The goal of this work is to formally provide a general definition of a multimedia
recommendation system (MMRS), in particular a content-based MMRS (CB-MMRS), and to …
recommendation system (MMRS), in particular a content-based MMRS (CB-MMRS), and to …
Text to emotion extraction using supervised machine learning techniques
MA Azim, MH Bhuiyan - … Computing Electronics and Control), 2018 - telkomnika.uad.ac.id
Proliferation of internet and social media has greatly increased the popularity of text
communication. People convey their sentiment and emotion through text which promotes …
communication. People convey their sentiment and emotion through text which promotes …
User awareness in music recommender systems
Music recommender systems are a widely adopted application of personalized systems and
interfaces. By tracking the listening activity of their users and building preference profiles, a …
interfaces. By tracking the listening activity of their users and building preference profiles, a …
EmoChat: Bringing multimodal emotion detection to mobile conversation
Online chatting is very popular nowadays. However, most of the chatting softwares are
based on pure text messages, which cannot completely convey users' emotions, causing …
based on pure text messages, which cannot completely convey users' emotions, causing …
Predictive analysis of emotions for improving customer services
Human emotions plays an important role in everyday communication. Emotions are formed
by the combination of cues such as relative actions, facial expressions, and gestures and …
by the combination of cues such as relative actions, facial expressions, and gestures and …
11 Listener awareness in music recommender systems: directions and current trends
Music recommender systems are a widely adopted application of personalized systems and
interfaces. By tracking the listening activity of their users and building preference profiles, a …
interfaces. By tracking the listening activity of their users and building preference profiles, a …
Automatic assessment of dimensional affective content in Turkish multi-party chat messages
This study presents a model for affective text analysis of online multi-party chat records in
Turkish language. Online chats have challenges like non-standard word usage, grammatical …
Turkish language. Online chats have challenges like non-standard word usage, grammatical …
Defining an affective algorithm for purchasing decisions in E-commerce environments
D Cabrera, N Araya, H Jaime, C Cubillos… - IEEE Latin America …, 2015 - ieeexplore.ieee.org
This paper presents an affective algorithm to support purchasing decisions in e-commerce
environments. The literature associated with decision-making theory includes the affective …
environments. The literature associated with decision-making theory includes the affective …