LyEmoBERT: Classification of lyrics' emotion and recommendation using a pre-trained model

VR Revathy, AS Pillai, F Daneshfar - Procedia Computer Science, 2023 - Elsevier
Music plays a significant role in evoking human emotions. Thanks to the quick proliferation
of smartphones and mobile internet, music streaming applications and websites have made …

SentiSpotMusic: a music recommendation system based on sentiment analysis

E Sarin, S Vashishtha, S Kaur - 2021 4th International …, 2022 - ieeexplore.ieee.org
Transformation in digital media has modified different aspects of life, as well as the music
industry and listener's listening habits. The unfolding of handy electronic devices and …

Song lyrics recommendation for social media captions using image captioning, image emotion, and caption-lyric matching via universal sentence embedding

N Sanguansub, P Kamolrungwarakul… - Social Network Analysis …, 2023 - Springer
Nowadays, simply posting images on social media are not enough to attract attention. Many
platforms encourage users to upload images with captions or songs. Since there are …

Normalized category travel personality by considering explicit and implicit feedback (NCTP): approach for improving travel recommender systems search result

N Kumar, BR Hanji - International Journal of Information Technology, 2023 - Springer
Large volumes of end-user-generated textual data are assembled every day which leads to
the evolution of social media in the form of reviews/feedback, and brief description …

Normalized attraction travel personality representation for improving travel recommender systems

T Alenezi, S Hirtle - IEEE Access, 2022 - ieeexplore.ieee.org
Travel recommender systems (TRSs) aim to reduce travel-related search overload. A
significant part of a TRS is representing attractions in a way that reflect the explicit and …

Time-Dependent Enhanced Personalized Semantic Map-Based Transportation Mode Recommendation System

H Bhuwad, JW Bakal - International Conference on Data Science and …, 2023 - Springer
The abundance of online data has presented a challenge for users to efficiently navigate
and access the information they seek. To address this issue, this study proposes a time …