Recommender systems have been pervasively applied as a technique of suggesting travel recommendations to tourists. Actually, recommendation systems significantly contribute to …
Identifying user preferences is a complex operation, which makes its automa-tion challenging, and existing recommendation systems that rely on one of the parameters …
Z Bai, S Ma, G Li - IEEE Access, 2022 - ieeexplore.ieee.org
This paper describes a study that built a neural network prediction model based on feature extraction, focusing on text analysis and image analysis of WeChat official accounts reading …
G Kaur, A Sharma - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
The reviews posted online by the end-users can help the business owners obtain a fair evaluation of their products/services and take the necessary steps. However, due to the …
G Kaur, A Sharma - International Journal of Electrical & Computer …, 2024 - researchgate.net
Customer review summarization (CRS) offers business owners summarized customer feedback. The functionality of CRS mainly depends on the sentiment analysis (SA) model; …
Sentiment Analysis classifies the sentiments that are represented in the text data and the sentiments categorized as negative or positive. This research work introduces a hybrid …
MM Alrehili, WMS Yafooz - 2021 3rd International Youth …, 2021 - ieeexplore.ieee.org
Social platforms such as Facebook, Twitter, Instagram, and YouTube have escalated the content published over the internet by the users. Such platforms are considered salient …
G Kaur, A Sharma - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
There is an exponential growth in textual content generation every day in today's world. In- app messaging such as Telegram and WhatsApp, social media websites such as Instagram …
Multi-modal information outbreak is consistently increasing in social media. Classification of tweet sentiments using various information modalities will help the recommender systems to …