ACM Transactions on Asian and Low-Resource Language Information Proces

Papers
(The H4-Index of ACM Transactions on Asian and Low-Resource Language Information Proces is 19. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
A Comprehensive Survey on Word Representation Models: From Classical to State-of-the-Art Word Representation Language Models63
A Hybrid CNN-LSTM: A Deep Learning Approach for Consumer Sentiment Analysis Using Qualitative User-Generated Contents58
Hate Speech Detection in Roman Urdu31
Context-aware Emotion Detection from Low-resource Urdu Language Using Deep Neural Network29
Emoji-Based Sentiment Analysis Using Attention Networks29
A Framework for Extractive Text Summarization Based on Deep Learning Modified Neural Network Classifier29
Developing a Vietnamese Tourism Question Answering System Using Knowledge Graph and Deep Learning25
Experience Replay-based Deep Reinforcement Learning for Dialogue Management Optimisation24
A Two-stage Text Feature Selection Algorithm for Improving Text Classification24
Chinese Short Text Classification with Mutual-Attention Convolutional Neural Networks22
Betalogger: Smartphone Sensor-based Side-channel Attack Detection and Text Inference Using Language Modeling and Dense MultiLayer Neural Network22
Toward Integrated CNN-based Sentiment Analysis of Tweets for Scarce-resource Language—Hindi21
KArSL21
Multilingual Offensive Language Identification for Low-resource Languages21
A Survey of Offensive Language Detection for the Arabic Language21
Venue Topic Model–enhanced Joint Graph Modelling for Citation Recommendation in Scholarly Big Data20
A Hindi Image Caption Generation Framework Using Deep Learning20
Sentiment Analysis Using XLM-R Transformer and Zero-shot Transfer Learning on Resource-poor Indian Language20
Blockchain-based Framework for Reducing Fake or Vicious News Spread on Social Media/Messaging Platforms19
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