BERT-based hybrid RNN model for multi-class text classification to study the effect of pre-trained word embeddings
S Shreyashree, P Sunagar… - International …, 2022 - search.proquest.com
Due to the Covid-19 pandemic which started in the year 2020, many nations had imposed
lockdown to curb the spread of this virus. People have been sharing their experiences and …
lockdown to curb the spread of this virus. People have been sharing their experiences and …
[PDF][PDF] A Hybrid Model for Sentiment Analysis Based on Movie Review Datasets
K Jain, P Ghosh, S Gupta - Int. J. Recent Innov. Trends Comput …, 2023 - academia.edu
The classification of sentiments, often known as sentiment analysis, is now widely
recognized as an open field of research. Over the past few years, a huge amount of study …
recognized as an open field of research. Over the past few years, a huge amount of study …
A Hybrid Deep Learning GRU based Approach for Text Classification using Word Embedding
P Eswaraiah, H Syed - EAI Endorsed Transactions on Internet of …, 2024 - publications.eai.eu
Text categorization has become an increasingly important issue for businesses that handle
massive volumes of data generated online, and it has found substantial use in the field of …
massive volumes of data generated online, and it has found substantial use in the field of …
Hybrid Modeling to Classify and Detect Outliers on Multilabel Dataset based on Content and Context
To the linked various matching categories, news article categorization are a rapidly
increasing field of interest in text classification. However, the low-reliability indices and …
increasing field of interest in text classification. However, the low-reliability indices and …
Incorporating text and emoticon features in sarcasm and irony detection: A deep learning-based approach
X Ma, T Li, Z Jin - 2023 IEEE 3rd International Conference on …, 2023 - ieeexplore.ieee.org
Emotions play a crucial role in social media interactions, and sarcasm and irony often
convey complex emotions that can be challenging to detect accurately. This study focuses …
convey complex emotions that can be challenging to detect accurately. This study focuses …
[PDF][PDF] Authorship Attribution on Kannada Text using Bi-Directional LSTM Technique
CP Chandrika, JS Kallimani - International Journal of Advanced …, 2022 - researchgate.net
Author attribution is the field of deducing the author of an unknown textual source based on
certain characteristics inherently present in the author's style of writing. Author attribution has …
certain characteristics inherently present in the author's style of writing. Author attribution has …