BiDAF model in sentiment analysis task

BiDAF model in sentiment analysis task

Sentiment analysis is a critical job in natural language processing. Controlling and evaluating customer feedback on their goods is a task that companies are especially interested in. For reading comprehension problems including attention processes, the BiDAF model is developed. Attention processes...

Full description

Bibliographic Details
Main Author:	Luong Thi Minh Hue
Format:	Article
Language:	English
Published:	Trường Đại học Vinh 2023-06-01
Series:	Tạp chí Khoa học
Subjects:	natural language processing lstm deep learning machine learning bidaf
Online Access:	https://vujs.vn//api/view.aspx?cid=2ef878d2-acf7-43fe-80cd-2b64262a3ef8

Similar Items

An ensemble deep learning technique for detecting suicidal ideation from posts in social media platforms
by: Shini Renjith, et al.
Published: (2022-11-01)

Towards Sentiment Analysis for Romanian Twitter Content
by: Dan Claudiu Neagu, et al.
Published: (2022-09-01)

Sentiment Analysis of Pedulilindungi Application Reviews Using Machine Learning and Deep Learning
by: Ahmad Rais Dwijaya, et al.
Published: (2023-03-01)

Sentiment Analysis Based on Deep Learning: A Comparative Study
by: Nhan Cach Dang, et al.
Published: (2020-03-01)

A Domain-Independent Classification Model for Sentiment Analysis Using Neural Models
by: Nour Jnoub, et al.
Published: (2020-09-01)

Context-Aware Deep Learning Model for Detection of Roman Urdu Hate Speech on Social Media Platform
by: Muhammad Bilal, et al.
Published: (2022-01-01)

Field Data Forecasting Using LSTM and Bi-LSTM Approaches
by: Paweena Suebsombut, et al.
Published: (2021-12-01)

The Importance of Context for Sentiment Analysis in Dialogues
by: Isabel Carvalho, et al.
Published: (2023-01-01)

BERT- and BiLSTM-Based Sentiment Analysis of Online Chinese Buzzwords
by: Xinlu Li, et al.
Published: (2022-11-01)

Deep Sentiment Analysis Using CNN-LSTM Architecture of English and Roman Urdu Text Shared in Social Media
by: Lal Khan, et al.
Published: (2022-03-01)

An Effective Deep Learning-Based Architecture for Prediction of N<sup>7</sup>-Methylguanosine Sites in Health Systems
by: Muhammad Tahir, et al.
Published: (2022-06-01)

An Experimental Analysis of Deep Neural Network Based Classifiers for Sentiment Analysis Task
by: Mrigank Shukla, et al.
Published: (2023-01-01)

Automated sentiment analysis in social media using Harris Hawks optimisation and deep learning techniques
by: Hanan T. Halawani, et al.
Published: (2023-10-01)

Adaptive Particle Grey Wolf Optimizer with Deep Learning-based Sentiment Analysis on Online Product Reviews
by: Durai Elangovan, et al.
Published: (2023-06-01)

Translating Sentimental Statements Using Deep Learning Techniques
by: Yin-Fu Huang, et al.
Published: (2021-01-01)

Attention-Based RU-BiLSTM Sentiment Analysis Model for Roman Urdu
by: Bilal Ahmed Chandio, et al.
Published: (2022-04-01)

Contextually Enriched Meta-Learning Ensemble Model for Urdu Sentiment Analysis
by: Kanwal Ahmed, et al.
Published: (2023-03-01)

Enhancing contextual understanding in NLP: adapting state-of-the-art models for improved sentiment analysis of informal language
by: Sneha Ravisankar
Published: (2024)

Analysis of Deep Learning Model Combinations and Tokenization Approaches in Sentiment Classification
by: Ali Erkan, et al.
Published: (2023-01-01)

An AI-Based Medical Chatbot Model for Infectious Disease Prediction
by: Sanjay Chakraborty, et al.
Published: (2022-01-01)

Live Event Detection for People’s Safety Using NLP and Deep Learning
by: Amrit Sen, et al.
Published: (2024-01-01)

A sequential neural recommendation system exploiting BERT and LSTM on social media posts
by: A. Noorian, et al.
Published: (2023-08-01)

An approach for assisting diagnosis of Alzheimer's disease based on natural language processing
by: Ning Liu, et al.
Published: (2023-11-01)

Deep Learning based Tamil Parts of Speech (POS) Tagger
by: S. Anbukkarasi, et al.
Published: (2021-09-01)

An Approach to Integrating Sentiment Analysis into Recommender Systems
by: Cach N. Dang, et al.
Published: (2021-08-01)

Prediction of the customers' interests using sentiment analysis in e-commerce data for comparison of Arabic, English, and Turkish languages
by: Pinar Savci, et al.
Published: (2023-03-01)

MBi-GRUMCONV: A novel Multi Bi-GRU and Multi CNN-Based deep learning model for social media sentiment analysis
by: Muhammet Sinan Başarslan, et al.
Published: (2023-01-01)

Sentiment Analysis in E-Commerce Platforms: A Review of Current Techniques and Future Directions
by: Huang Huang, et al.
Published: (2023-01-01)

Sentiment Analysis of Chinese Product Reviews Based on Fusion of DUAL-Channel BiLSTM and Self-Attention
by: Ye Yuan, et al.
Published: (2023-11-01)

Dis-Cover AI Minds to Preserve Human Knowledge
by: Leonardo Ranaldi, et al.
Published: (2021-12-01)

Developing Turkish sentiment analysis models using machine learning and e-commerce data
by: Murat Demircan, et al.
Published: (2021-06-01)

ASAVACT: Arabic sentiment analysis for vaccine-related COVID-19 tweets using deep learning
by: Sarah Alhumoud, et al.
Published: (2023-10-01)

Preprocessing of Aspect-based English Telugu Code Mixed Sentiment Analysis
by: Arun Kodirekka, et al.
Published: (2023-03-01)

Dementia Detection from Speech: What If Language Models Are Not the Answer?
by: Mondher Bouazizi, et al.
Published: (2023-12-01)

Sentiment analysis model for cryptocurrency tweets using different deep learning techniques
by: Nair Michael, et al.
Published: (2024-03-01)

Tweets Topic Classification and Sentiment Analysis Based on Transformer-Based Language Models
by: Ranju Mandal, et al.
Published: (2023-05-01)

Semantic relational machine learning model for sentiment analysis using cascade feature selection and heterogeneous classifier ensemble
by: Anuradha Yenkikar, et al.
Published: (2022-09-01)

Central Kurdish Sentiment Analysis Using Deep Learning
by: Kozhin Awlla, et al.
Published: (2022-12-01)

Exploring Lightweight Deep Learning Solution for Malware Detection in IoT Constraint Environment
by: Abdur Rehman Khan, et al.
Published: (2022-12-01)

A sentiment analysis framework to classify instances of sarcastic sentiments within the aviation sector
by: Abdul-Manan Iddrisu, et al.
Published: (2023-11-01)