[PDF][PDF] Customer sentiment analysis for Arabic social media using a novel ensemble machine learning approach

N Hicham, S Karim, N Habbat - Int. J. Electr. Comput. Eng, 2023 - academia.edu
Arabic's complex morphology, orthography, and dialects make sentiment analysis difficult.
This activity makes it harder to extract text attributes from short conversations to evaluate …

[PDF][PDF] Enhancing Collaborative Filtering with Deep Neural Networks and User

AS Ghabayen, AMS Elaklouk, MR Zunaidi, NM Diah… - 2024 - preprints.org
In the era of information explosion in e-commerce, users face an overload problem.
Recommender systems alleviate this by filtering target products based on user preferences …

An Optimized Search-Enabled Hotel Recommender System

M Sandesara, P Sharan, D Saraswat… - … Conference on Recent …, 2023 - Springer
Nowadays, it is very challenging and confusing for the users to identify a well-suited hotel
according to their requirements. Hotels are also increasing tremendously with a broader …

[PDF][PDF] Ideaspire: Students Project Recommendation System

K Bhangale, S Bhoi, P Mahajan, Y Bhagwat, P Vikhar - 2024 - ijresonline.com
In the critical last year of a four-year degree engineering program, choosing an appropriate
project can represent the deciding moment of the graduation experience. Conventional …

Sentiment Analysis-Based Hybrid Collaborative Filtering Recommendation Algorithm for Consumer Decision

A Pathak, BK Sharma - Mathematical Statistician and Engineering …, 2021 - philstat.org
A recommendation system can suggest things for diverse user interests based on several
sources of information. Most recommendation systems rely heavily on the collaborative …

[PDF][PDF] A Study On The Sentiment Analysis Based Hybrid Collaborative Filtering Recommendation Algorithm

A Pathak, BK Sharma - Webology (ISSN: 1735-188X), 2021 - webology.org
Since Internet data is growing, recommender systems must be developed and improved to
provide a list of suitable favourites. Recent years have seen a rise in the popularity of …