Improvement of Translation Accuracy for the Word Sense Disambiguation System using Novel Classifier Approach

Ajith Abraham,Bineet Kumar Gupta,Satya Bhushan Verma,Archana Sachindeo Maurya,Mohammad Husain,Arshad Ali,Sami Alshmrany,Sanjay Gupta

#Bayes theorem #machine learning #machine translation #naïve bayes classification #supervised approach #unsupervised approach #and word sense disambiguation

Sotiris Kotsiantis

# Naive Bayes classifier # data mining # machine learni ng

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

Abstract: Prediction of fault prone module prior to testing is an emerging activity for software organizations to allocate

#Software metrics # software fault prediction # machine learning

Omar Al-Harbi

#Arabic sentiment analysis # Opinion mining # Dialectal sentiment analysis # Dialectal lexicon # Dialectal Arabic processing

Tree (PFVD-VST)

#Vulnerability discovery # prediction # classification and clustering # binary code analyzer # code quality metrics # vulnerability syntax tree

Niyati Kumari Behera and Guruvayur Suryanarayanan Mahalakshmi

#Information retrieval # text mining # qualitative attribute # adjectives # natural language processing

Comments

#Opinion mining # sentiment analysis # K-Nearest Neighbours # Naïve Bayes # Support Vector Machines # Arabic # comment

Mohammed Tabash, Mohamed Abd Allah, and Bella Tawfik

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

Jasleen Kaur1 and Jatinderkumar Saini2

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