Extracting Severe Negative Sentence Pattern from Bangla Data via Long Short-term Memory Neural Network

Uddin, Abdul Hasib; Dam, Sumit Kumar; Arif, Abu Shamim Mohammad

doi:10.1109/eict48899.2019.9068794

Cited by 9 publications

(3 citation statements)

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“…In 2019, Uddin et al [77] suggested a neural network model for identifying the negative sentences from Bangla sentences. The authors used the LSTM model for their work and created their own datasets.…”

Section: ) Machine Learning Approachesmentioning

confidence: 99%

Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning-Based Methods

et al. 2022

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The Bangla language is the seventh most spoken language, with 265 million native and non-native speakers worldwide. However, English is the predominant language for online resources and technical knowledge, journals, and documentation. Consequently, many Bangla-speaking people, who have limited command of English, face hurdles to utilize English resources. To bridge the gap between limited support and increasing demand, researchers conducted many experiments and developed valuable tools and techniques to create and process Bangla language materials. Many efforts are also ongoing to make it easy to use the Bangla language in the online and technical domains. There are some review papers to understand the past, previous, and future Bangla Natural Language Processing (BNLP) trends. The studies are mainly concentrated on the specific domains of BNLP, such as sentiment analysis, speech recognition, optical character recognition, and text summarization. There is an apparent scarcity of resources that contain a comprehensive review of the recent BNLP tools and methods. Therefore, in this paper, we present a thorough analysis of 75 BNLP research papers and categorize them into 11 categories,

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Section: ) Machine Learning Approachesmentioning

confidence: 99%

Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning-Based Methods

et al. 2022

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“…In 2019, Uddin et al [76] suggested a neural network model for identifying the negative sentences from Bangla sentences. The authors used the LSTM model for their work and created their own datasets.…”

Section: ) Machine Learning Approachesmentioning

confidence: 99%

“…LSTM based RNN Sentiment Analysis (Hassan et al [65], Tripto et al [63], and Uddin et al [76]) and Speech Processing and Recognition (Nahid et al [52]).…”

Section: Maximum Entropymentioning

confidence: 99%

Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods

Sen,

Fuad,

Islam

et al. 2021

Preprint

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The Bangla language is the seventh most spoken language, with 265 million native and non-native speakers worldwide. However, English is the predominant language for online resources and technical knowledge, journals, and documentation. Consequently, many Bangla-speaking people, who have limited command of English, face hurdles to utilize English resources. To bridge the gap between limited support and increasing demand, researchers conducted many experiments and developed valuable tools and techniques to create and process Bangla language materials. Many efforts are also ongoing to make it easy to use the Bangla language in the online and technical domains. There are some review papers to understand the past, previous, and future Bangla Natural Language Processing (BNLP) trends. The studies are mainly concentrated on the specific domains of BNLP, such as sentiment analysis, speech recognition, optical character recognition, and text summarization. There is an apparent scarcity of resources that contain a comprehensive study of the recent BNLP tools and methods. Therefore, in this paper, we present a thorough review of 71 BNLP research papers and categorize them into 11 categories,

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Establishing a Formal Benchmarking Process for Sentiment Analysis for the Bangla Language

Rabby¹,

Islam²,

Rahman³

2020

Advances in Intelligent Systems and Computing

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Extracting Severe Negative Sentence Pattern from Bangla Data via Long Short-term Memory Neural Network

Cited by 9 publications

References 1 publication

Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning-Based Methods

Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning-Based Methods

Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods

Establishing a Formal Benchmarking Process for Sentiment Analysis for the Bangla Language

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