Part of speech tagging: a systematic review of deep learning and machine learning approaches

A Chiche, B Yitagesu - Journal of Big Data, 2022 - Springer
Natural language processing (NLP) tools have sparked a great deal of interest due to rapid
improvements in information and communications technologies. As a result, many different …

[HTML][HTML] Exploring the frontiers of deep learning and natural language processing: A comprehensive overview of key challenges and emerging trends

W Khan, A Daud, K Khan, S Muhammad… - Natural Language …, 2023 - Elsevier
In the recent past, more than 5 years or so, DL especially the large language models (LLMs)
has generated extensive studies out of a distinctly average downturn field of knowledge …

Deep learning techniques for part of speech tagging by natural language processing

RD Deshmukh, A Kiwelekar - 2020 2nd International …, 2020 - ieeexplore.ieee.org
For many natural language processing applications, part of speech (POS) tagging remains
as a preliminary task. Marathi, is observed as a popular language in India but it only has …

A deep learning model based on BERT and sentence transformer for semantic keyphrase extraction on big social data

R Devika, S Vairavasundaram, CSJ Mahenthar… - IEEE …, 2021 - ieeexplore.ieee.org
In the evolution of the Internet, social media platform like Twitter has permitted the public
user to share information such as famous current affairs, events, opinions, news, and …

Progress notes classification and keyword extraction using attention-based deep learning models with BERT

M Tang, P Gandhi, MA Kabir, C Zou, J Blakey… - arXiv preprint arXiv …, 2019 - arxiv.org
Various deep learning algorithms have been developed to analyze different types of clinical
data including clinical text classification and extracting information from'free text'and so on …

Parts-of-speech tagging of Nepali texts with Bidirectional LSTM, Conditional Random Fields and HMM

A Pradhan, A Yajnik - Multimedia Tools and Applications, 2024 - Springer
Abstract Parts-of-Speech (POS) Tagging is one of the fundamental and pre-processing steps
for Natural Language Processing (NLP) tasks such as Text Summarization, Name Entity …

An efficient sentimental analysis using hybrid deep learning and optimization technique for Twitter using parts of speech (POS) tagging

M Divyapushpalakshmi, R Ramalakshmi - International Journal of Speech …, 2021 - Springer
The topic sentiment analysis is like a buzz word among researchers with the advancements
in business and social network analysis. Sentiment analysis is the process of recognizing …

A review of bangla natural language processing tasks and the utility of transformer models

F Alam, A Hasan, T Alam, A Khan, J Tajrin… - arXiv preprint arXiv …, 2021 - arxiv.org
Bangla--ranked as the 6th most widely spoken language across the world (https://www.
ethnologue. com/guides/ethnologue200), with 230 million native speakers--is still …

BaNeP: An End-to-End Neural Network Based Model for Bangla Parts-of-Speech Tagging

JA Ovi, MA Islam, MR Karim - IEEE Access, 2022 - ieeexplore.ieee.org
In Natural Language Processing, Parts-of-Speech tagging is a vital component that
significantly impacts applications like machine translation, spell-checker, information …

Implementation of automated Bengali parts of speech tagger: An approach using deep learning algorithm

AH Patoary, MJB Kibria, A Kaium - 2020 IEEE Region 10 …, 2020 - ieeexplore.ieee.org
Parts-of-Speech (POS) tagging is the technique to assign each word in a sentence as an
individual part of speech. POS tagging is the first important step in Natural Language …