Sentiment analysis-based recommendation system for agricultural products

A Sharma, D Vora, K Shaw, S Patil - International Journal of Information …, 2024 - Springer
The backbone of the Indian economy is agriculture, yet traditional farmers frequently find it
challenging to choose the best products for their rice crops, which results in crop losses …

Profiling and clustering the global market for hijabistas: a Twitter text analytics approach

MM Mostafa, AB Alanadoly - International Journal of Information …, 2024 - Springer
Consumer-generated data provides a massive amount of market data that helps improve
brands' decision-making processes within a highly demanding marketplace. This paper …

A two-staged NLP-based framework for assessing the sentiments on Indian supreme court judgments

I Gupta, I Chatterjee, N Gupta - International Journal of Information …, 2023 - Springer
Topic modeling is a powerful technique for uncovering hidden patterns in large documents.
It can identify themes that are highly connected and lead to a certain region while …

Soft Computing Techniques Implication for the Exhaustive Intelligent Review Analysis for Electric Vehicle Charging System

A Saxena, S Singh, J Singh, R Pandey… - 2023 International …, 2023 - ieeexplore.ieee.org
This paper shows the detailed intelligent monitoring survey analysis of an electric vehicle's
charging system from various generating sources by using soft computing techniques. The …

Ontology enrichment from opinions using machine learning algorithms

M Oussaid, F Bouarab-Dahmani - International Journal of Information …, 2024 - Springer
Abstract Systems based on ontologies enable better data exploitation and provide credible
and contextualized knowledge. Several sources of knowledge have been explored for …

Optimal Number of Topics in Topic Modeling Using Deep Auto Encoder Graph Regularized Non-Negative Matrix Factorization Algorithm

P Kherwa, J Arora - Journal of Systems Science and Systems Engineering, 2024 - Springer
Topic modeling stands as a well-explored and foundational challenge in the text mining
domain. Traditional topic schemes based on word co-occurrences, aim to expose the latent …

An ellipsoid restrictive region-based regularization for regression analysis

A Dutta, K Lakshmanan, R Karthik, SS Priya… - International Journal of …, 2024 - Springer
Regression, as a statistical learning process seeks to minimize estimation error by modelling
the relationship between independent variables, but Overfitting can result in minimal training …

Predicting opinion evolution based on information diffusion in social networks using a hybrid fuzzy based approach

SE Uthirapathy, D Sandanam - International Journal of Information …, 2023 - Springer
Social media plays an important role in disseminating information and analysing public and
government opinions. The vast majority of previous research has examined information …

Zlepšení poznatků o produktech pomocí analýzy sentimentu recenzí zákazníků

J Dudášová - 2024 - is.muni.cz
Tato práce si klade za cíl zkoumat korelaci mezi online zákaznickými recenzemi a objemy
prodeje elektronických produktů prodávaných online distributorem Alza. K dosažení tohoto …

A Novel TDEF1. 0 for Making Twitter Accessible for People with Disabilities

N Aggarwal, R Wason, P Arora… - 3c Tecnología: glosas …, 2023 - dialnet.unirioja.es
This manuscript introduces a novel framework to extend the accessibility of Twitter users'
timelines to people with disabilities. Our proposed framework is designed with iconic …