Streamlining Job Search and Detecting Fraudulent Job Listing

A Koganur, A Maharnavar, K Kachare… - 2024 8th …, 2024 - ieeexplore.ieee.org
In today's job market to explore how various contextual factors influence the accuracy of
automatically detecting online recruitment fraud, this study seeks to highlight the significance …

ESFMS: Design of an Ensemble Sentiment Analysis Model for Feedback Evaluation via Multimodal Feature Selection Process

S Kadu, B Joshi - International Conference on Data Science and …, 2023 - Springer
Sentiment analysis for identification of feedback is a multi-domain language processing task
that involves pre-processing of text samples, representation of pre-processed samples into …

[PDF][PDF] Multichannel Approach for Sentiment Analysis Using Stack of Neural Network with Lexicon Based Padding and Attention Mechanism

VR Kota, MS Devi - Applied Computer Systems, 2023 - sciendo.com
Sentiment analysis (SA) has been an important focus of study in the fields of computational
linguistics and data analysis for a decade. Recently, promising results have been achieved …

Conceptual Framework to Categorize Friday Sermon Documents with Web Scraping

M Hamiz, MM Aripin, M Bakri - AI in Business: Opportunities and …, 2024 - Springer
Muslims have the religious obligation of engaging in five daily prayers, one of which is the
significant Friday prayer, conducted as a congregational event following the Friday Sermon …

A Survey on Enhancing Password Guessing and Dictionary List Creation Techniques Using OSINT

S Giridharan, AS Muthukimaran… - … -Gen Technologies in …, 2024 - taylorfrancis.com
Password cracking is the process of recovering a password from an encrypted or hashed
form. Attackers often make use of open-source intelligence to aid in their password-cracking …

Dictionary List Creation using Web Scrapping and Password Cracking.

S Giridharan, E Rajkumar, MS Kumar… - … of Engineering & …, 2024 - search.ebscohost.com
Recovering a password from encrypted or hashed form is known as password cracking and
attackers often use open source intelligence as assistance. The information gathered can …

Ensemble Deep Learning Model to Evaluate Sentiments in Social media posts.

S Nikam, NW Kimmatkar - Grenze International Journal of …, 2024 - search.ebscohost.com
The exponential rise in social media users makes it more difficult to comprehend what other
netizens think about a certain topic. Therefore, sentiment analysis is essential for assessing …

License-aware web crawling

S Ilich - 2024 - essay.utwente.nl
The training of generative artificial intelligence (AI) models demands extensive datasets
often sourced from web scraping. However, current practices frequently overlook copyright …

[PDF][PDF] TLMAEMS: Design of an efficient Transfer Learning Model with Auto Encoders for Multimodal Sentiment Analysis via Deep Sentiment Networks

O Dewangan, M Mishra - Interaction - researchgate.net
Multimodal sentiment analysis has gained significant attention in recent years due to the
increasing use of multimedia data in various applications. In this paper, we propose an …