[PDF][PDF] Multi-class document classification using support vector machine (SVM) based on improved Naïve bayes vectorization technique

HT Sueno, BD Gerardo, RP Medina - International Journal of …, 2020 - researchgate.net
At present several vectorization approaches are used to transform text documents into a
numerical format. A huge number of features converted from text data from a single …

Emotionally charged text classification with deep learning and sentiment semantic

JL Huan, AA Sekh, C Quek, DK Prasad - Neural Computing and …, 2022 - Springer
Text classification is one of the widely used phenomena in different natural language
processing tasks. State-of-the-art text classifiers use the vector space model for extracting …

[PDF][PDF] Sentimental analysis of student feedback using machine learning techniques

DD Dsouza, DPN Deepika, EJ Machado… - … Journal of Recent …, 2019 - researchgate.net
Educational institutions attempt to collect feedback from students to study their sentiment
towards courses and facilitates provided by the institution to improve the college …

Real-time application of document classification based on machine learning

A Guha, D Samanta - Intelligent Computing Paradigm and Cutting-edge …, 2020 - Springer
This research has been performed, keeping a real-time application of document (multi-page,
varying length, scanned image-based) classification in mind. History of property title is …

Meta-Heuristic Guided Feature Optimization for Enhanced Authorship Attribution in Java Source Code

B Al-Ahmad, N Al-Madi, A Alzaqebah… - IEEE …, 2023 - ieeexplore.ieee.org
Source code authorship attribution is the task of identifying who develops the code based on
learning based on the programmer style. It is one of the critical activities which used …

[PDF][PDF] Converting text to numerical representation using modified Bayesian vectorization technique for multi-class classification

HT Sueno, BD Gerardo, RP Medina - International Journal, 2020 - researchgate.net
The first step towards making the text documents machine-readable is vectorization.
Vectorisation allows the machines to understand textual content by transforming it into …

Classification Model of Consumer Question about Motorbike Problems by Using Naï ve Bayes and Support Vector Machine

E Wicaksana, DT Murdiansyah… - Indonesia Journal on …, 2021 - socj.telkomuniversity.ac.id
The motorbike plays an important role in supporting daily activity. The motorbike is known as
one of the transportation modes that is frequently used in Indonesia. The number of …

Efficient Turkish tweet classification system for crisis response

S Alqaraleh, M Işik - Turkish Journal of Electrical Engineering …, 2020 - journals.tubitak.gov.tr
This paper presents a convolutional neural networks Turkish tweet classification system for
crisis response. This system has the ability to classify the present information before or …

Tuning traditional language processing approaches for Pashto text classification

JA Baktash, M Dawodi, MZ Joya… - arXiv preprint arXiv …, 2023 - arxiv.org
Today text classification becomes critical task for concerned individuals for numerous
purposes. Hence, several researches have been conducted to develop automatic text …

Robotic Process Automation for Resume Processing System

N Roopesh, CN Babu - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Recruiting a right candidate for a particular job is a tedious process as shortlisting few
applications among thousands involves huge man power. Once the candidates are short …