Proposing a visualized comparative review analysis model on tourism domain using Naïve Bayes classifier

AVD Sano, AA Stefanus, ED Madyatmadja… - Procedia Computer …, 2023 - Elsevier
This study, using the Naïve Bayes classifier, proposes a new descriptive model for
conducting a comparative review analysis on the tourism domain. The proposed model …

Survey-credible conversation and sentiment analysis

I Fadhli, L Hlaoua, MN Omri - Social Network Analysis and Mining, 2023 - Springer
In the context of Twitter, sentiment analysis has ushered in novel challenges. The emotions
expressed in tweets can span the spectrum from positive to negative or can simply convey …

Exploring the impact of Instagram like visibility on self-confidence

FT Susilawaty, A Jaya… - Jurnal Kajian …, 2023 - garuda.kemdikbud.go.id
Background: Instagram allegedly hid the number of likes due to its alleged negative effect.
However, it now allows users to choose their visibility settings. Users can either hide or show …

Ontology-based recommender system: a deep learning approach

SJ Gharibi, K BagheriFard, H Parvin, S Nejatian… - The Journal of …, 2024 - Springer
With the massive amount of data available on the Internet, many users face problems when
they need access to the information and goods they need. Adapting information to user …

A new approach to analyzing microblogging of tweets in social networks based on fuzzy semantic relationships

I Mejbri, L Hlaoua, MN Omri - Social Network Analysis and Mining, 2024 - Springer
In the era of pervasive social networks like Twitter and Facebook, the abundance of user-
generated content poses a significant challenge for information analysis. Most previous work …

Detecting Emotional Sentiments in Textual Data Using Various Machine Learning and Deep Learning Techniques

AA Sallam, WQ Saif, TH Rassem, BA Mohammed - 2024 - researchsquare.com
The digital age has led to a significant increase in text data, including social media updates,
articles, and text messages. The ability to understand and extract emotions from this data is …

Evaluating the Efficacy of Deep Learning Models in Healthcare Conversations

M Lal, S Neduncheliyan - 2023 IEEE Engineering Informatics, 2023 - ieeexplore.ieee.org
Conversational agents are critical in the healthcare industry for increasing communication
and patient experiences. This study intends to examine the efficacy of deep learning models …