Optimizing Machine Learning-based Sentiment Analysis Accuracy in Bilingual Sentences via Preprocessing Techniques

Mohammed Maree,Mujahed Eleyat,Enas Mesqali

#Machine learning #bilingual sentiment analysis #NLP #sentiment datasets

Optimizing Machine Learning-based Sentiment Analysis Accuracy in Bilingual Sentences via Preprocessing Techniques

Mohammed Maree,Mujahed Eleyat,Enas Mesqali

#Machine learning #bilingual sentiment analysis #NLP #sentiment datasets

New Model of Feature Selection based Chaotic Firefly Algorithm for Arabic Text Categorization

Meryeme Hadni,Hassane Hjiaj

#Chaotic method #firefly algorithm #arabic text categorization #feature selection

An Anti-Spam Filter Based on One-Class IB Method in Small Training Sets

Abstract:We present an approach to email filtering based on one-class Information Bottleneck (IB) method in small training

#IB method # one-class IB # anti-spam filter # Small training sets

Sotiris Kotsiantis

# Naive Bayes classifier # data mining # machine learni ng

# IP-Flow # netflow # NB # KNN # scanning worms # email wo rms

Baraa Sharef 1, 3, Nazlia Omar1, and Zeyad Sharef 2

#Arabic TC # FRAM # automatic TC # text classification

(2) Combining Instance Weighting and Fine Tuning for

Khalil El Hindi

#Naïve bayesian algorithm # classification # machine learning # noisy data sets # instance weighting

Modified Binary Bat Algorithm for Feature Selection in Unsupervised Learning

Abstract: Feature selection is the process of selecting a subset of optimal features by removing redundant and irrelevant

#Feature selection # unsupervised learning # binary bat algorithm # mutation

Toward a New Arabic Question Answering System Imane Lahbari, Said El Alaoui, and Khalid Zidani

language. In this paper, we describe our question processing and document retrieval as two components of Arabic QAS. First,

#Natural language processing # Arabic question answering system # question classification # taxonomy # machine learning approach # SVM # decision-tree # naive bayes # POS tagging # query expansion # AWN

Comparative Analysis of PSO and ACO Based Feature Selection Techniques for Medical Data

Preservation

#Randomization # particle swarm optimization # ant colony optimization # feature selection

The Impact of Natural Language Preprocessing on Big Data Sentiment Analysis

Mariam Khader, Arafat Awajan, and Ghazi Al-Naymat

#Big data # natural language processing # MapReduce framework # Naïve Bayes and sentiment analysis

Default Prediction Model: The Significant Role of

Data Engineering in the Quality of Outcomes

#Default Prediction # Classification # Pre-processing # Prediction # Features Selection # Generic Algorithm # PSO Algorithm # Naïve Bayes # Decision Tree # SVM # Random Forest # Banking # Risk Management

Enhanced Bagging (eBagging): A Novel Approach for Ensemble Learning

Goksu Tuysuzoglu1 and Derya Birant2 1Graduate School of Natural and Applied Sciences, Dokuz Eylul University, Turkey 2Department of Computer Engineering, Dokuz Eylul University, Turkey

#Bagging # boosting # classification algorithms # machine learning # random forest # supervised learning

Intrusion Detection Model Using Naive Bayes and Deep Learning Technique

Mohammed Tabash, Mohamed Abd Allah, and Bella Tawfik

#Classification # intrusion detection # deep learning # NSL-KDD # genetic algorithm # naïve bayes

Designing Punjabi Poetry Classifiers Using Machine Learning and Different Textual Features

Jasleen Kaur1 and Jatinderkumar Saini2

#Classification # naïve bayes # hyper pipes # k-nearest neighbour # Punjabi # poetry # support vector machine # word net

Text Mining Approaches for Dependent Bug Report Assembly and Severity Prediction

Bancha Luaphol, Jantima Polpinij, Manasawee Kaenampornpan

#Bug report # dependent bug report assembly # bug severity prediction # threshold-based similarity analysis # cosine similarity # BM25 # term weighting # classification algorithm

MiNB: Minority Sensitive Na ve Bayesian Algorithm for Multi-Class Classification of

Unbalanced Data, Harikrishna Jethva

#Imbalanced data learning # weighted naïve bayesian # cost-sensitive learning # multi-class unbalanced data

An Architecture of IoT-Aware Healthcare Smart System by Leveraging Machine Learning

Hamza Aldabbas,Dheeb Albashish,Khalaf Khatatneh,Rashid Amin

#IoT #machine learning #big data #cloud computing #healthcare