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

CANBLWO: A Novel Hybrid Approach for Semantic Text Generation

Abhishek Kumar Pandey,Sanjiban Sekhar Roy

#Natural language processing #natural language generation #neural network #convolutional attention network #whale optimization algorithm #BERT #large language model

Analyzing Sentiments using Optimized Novel Ensemble Fuzzy and DL based Approach with Efficient Feature Selection and Extraction Models

Potu Bharath,Dasari Venkata Lakshmi

#Sentiment analysis #deep convolutional fuzzy neural network #multilayer stacked bidirectional LSTM neural network inception-ResNet-V2 #enhanced reptile search algorithm #Al-Biruni earth radius optimization algorithm

Analysis of QA System Behavior against Context and Question Changes

Rachid Karra,Abdelali Lasfar

#Adversarial attacks #BERT #data quality #question answering #simplification

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

Word Embedding as a Semantic Feature Extraction Technique in Arabic Natural Language Processing: An Overview

Ghizlane Bourahouat,Manar Abourezq,Najima Daoudi

#ANLP #feature extraction #word embedding #BERT #transformers

Analysis of QA System Behavior against Context and Question Changes

Rachid Karra,Abdelali Lasfar

#Adversarial attacks #BERT #data quality #question answering #simplification

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

Word Embedding as a Semantic Feature Extraction Technique in Arabic Natural Language Processing: An Overview

Ghizlane Bourahouat,Manar Abourezq,Najima Daoudi

#ANLP #feature extraction #word embedding #BERT #transformers

Simultaneously Identifying Opinion Targets and Opinion-bearing Words Based on Multi-Features in Chinese Micro-Blog Texts

Quanchao Liu,Heyan Huang,Chong Feng

#Opinion mining #opinion target identification #micro-blog #feature-opinion pairs #sentiment polarity

Induction of Co-existing Items Available in Distributed Version Control Systems for Software Development

Sibel Özyer

#Version control systems #requirement analysis #co-occurrence analysis #natural language processing

A Topic-Specific Web Crawler using Deep Convolutional Networks

Saed ALqaraleh,Hatice Meltem Nergız Sırın

#CNN #natural language processing #text classification #topic specific crawler #focused crawler #web crawling

Exploring the Performance of Farasa and CAMeL Taggers for Arabic Dialect Tweets

Aseel Alfaidi,Hajer Alwadei,Areej Alshutayri,Shahd Alahdal

#Dialect arabic tweets #POS #POS tagging #MSA tagger #farasa tagger #CAMeL tagger

Exploring the Potential of Schemes in Building NLP

LaTICE Laboratory, Faculty of Sciences of Monastir, Tunisia

#

#IR # stemming # prefix # infix # suffix # exception list s

Yassine Benajiba2, Mona Diab2, and Paolo Rosso1 1Natural Language Engineering Laboratory, ELiRF, Uni versidad Politécnica Valencia, Spain

#Arabic natural language processing # classification # information extraction # named entity recognition

A New Approach for Arabic Named Entity Recognition

Abstract: A Named Entity Recognition (NER) plays a noteworthy role in Natural Language Processing (NLP) research, since

#Arabic NE # machine learning # web document # information retrieval # information extraction

Logical Schema-Based Mapping Technique to

Fiaz Majeed and Muhammad Shoaib

#

A Machine Learning System for Distinguishing Nominal and Verbal Arabic Sentences

structures than other languages. Thus, it is important to learn about the specialty and the structure of this language to deal

#Arabic language processing; natural language processing; inductive learning # ILA

Opinion within Opinion: Segmentation Approach

Department of Computer Science and Engineering, University of Engineering and Technology, Pakistan

#Sentiment analysis # urdu natural language processing # social media mining # urdu discourse analysis