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Transfer learning for sentiment analysis using BERT based supervised fine-tuning
The growth of the Internet has expanded the amount of data expressed by users across
multiple platforms. The availability of these different worldviews and individuals' emotions …
multiple platforms. The availability of these different worldviews and individuals' emotions …
Mining social media text for disaster resource management using a feature selection based on forest optimization
Resource management is an essential task that needs to be performed by the government
or any disaster management agency during natural disasters. During these critical …
or any disaster management agency during natural disasters. During these critical …
Application of quantum recurrent neural network in low resource language text classification
Text sentiment analysis is an important task in natural language processing and has always
been a hot research topic. However, in low-resource regions such as South Asia, where …
been a hot research topic. However, in low-resource regions such as South Asia, where …
Bengali sentiment analysis of e-commerce product reviews using k-nearest neighbors
The sentiment analysis of the Bengali language is converting into a trendy research topic
nowadays. Sentiment analysis is a useful technique in opinion mining, emotion extraction …
nowadays. Sentiment analysis is a useful technique in opinion mining, emotion extraction …
Sentilstm: a deep learning approach for sentiment analysis of restaurant reviews
The amount of textual data generation has increased enormously due to the effortless
access of the Internet and the evolution of various web 2.0 applications. These textual data …
access of the Internet and the evolution of various web 2.0 applications. These textual data …
[HTML][HTML] Exploring Transformer models in the sentiment analysis task for the under-resource Bengali language
In the sentiment analysis (SA) task, we can obtain a positive or negative-typed comment or
feedback from an online user or a customer about any object, such as a movie, drama, food …
feedback from an online user or a customer about any object, such as a movie, drama, food …
Classification of textual sentiment using ensemble technique
In recent years, the widespread use of the Internet has resulted in a revolutionary way for
people to share their feelings or sentiment on blogs, social media, e-commerce sites, and …
people to share their feelings or sentiment on blogs, social media, e-commerce sites, and …
MemoSen: A multimodal dataset for sentiment analysis of memes
Posting and sharing memes have become a powerful expedient of expressing opinions on
social media in recent days. Analysis of sentiment from memes has gained much attention to …
social media in recent days. Analysis of sentiment from memes has gained much attention to …
Sentiment analysis on movie review using Naïve Bayes
Sentiment analysis is needed because the analysis of the emotion is somehow complicated
due to slang phrases, misspellings, short-forms, recurring characters, the use of dialects …
due to slang phrases, misspellings, short-forms, recurring characters, the use of dialects …
Opinion mining and text analytics of reader reviews of Yoko Ogawa's the Housekeeper and the Professor in Goodreads
NB Sofian, P Keikhosrokiani, MP Asl - Handbook of research on …, 2022 - igi-global.com
With the development of online social network platforms and social cataloging applications,
large amounts of datasets are being generated daily in the form of users' reviews …
large amounts of datasets are being generated daily in the form of users' reviews …