Sentiment analysis in e-commerce platforms: A review of current techniques and future directions
H Huang, AA Zavareh, MB Mustafa - IEEE Access, 2023 - ieeexplore.ieee.org
Sentiment analysis (SA), also referred to as opinion mining, has become a widely used real-
world application of natural language processing in recent times. Its main goal is to identify …
world application of natural language processing in recent times. Its main goal is to identify …
Roman Urdu sentiment analysis using transfer learning
Numerous studies have been conducted to meet the growing need for analytic tools capable
of processing increasing amounts of textual data available online, and sentiment analysis …
of processing increasing amounts of textual data available online, and sentiment analysis …
[HTML][HTML] Systematic Literature Review: Analisis Sentimen Berbasis Deep Learning
F Fitroh, F Hudaya - Jurnal Nasional Teknologi dan Sistem …, 2023 - teknosi.fti.unand.ac.id
Systematic literature review ini bertujuan untuk mengetahui tren penelitian analisis sentimen
berbasis deep learning antara tahun 2020-2023. Fokus kajiannya adalah pada pemahaman …
berbasis deep learning antara tahun 2020-2023. Fokus kajiannya adalah pada pemahaman …
[HTML][HTML] Improving news headline text generation quality through frequent POS-Tag patterns analysis
Original synthetic content writing is one of the human abilities that algorithms aspire to
emulate. The advent of sophisticated algorithms, especially based on neural networks has …
emulate. The advent of sophisticated algorithms, especially based on neural networks has …
Deep learning based cross domain sentiment classification for Urdu language
Sentiment analysis is a widely researched area due to its various applications in customer
services, brand monitoring, and market research. Automatic sentiment classification is an …
services, brand monitoring, and market research. Automatic sentiment classification is an …
BERT based sentiment analysis for low-resourced languages: A case study of Urdu language
Sentiment analysis holds significant importance in research projects by providing valuable
insights into public opinions. However, the majority of sentiment analysis studies focus on …
insights into public opinions. However, the majority of sentiment analysis studies focus on …
Urdu speech and text based sentiment analyzer
W Ahmad, M Edalati - arXiv preprint arXiv:2207.09163, 2022 - arxiv.org
Discovering what other people think has always been a key aspect of our information-
gathering strategy. People can now actively utilize information technology to seek out and …
gathering strategy. People can now actively utilize information technology to seek out and …
Sentiment analysis on electricity Twitter posts
P Kaur, M Edalati - arXiv preprint arXiv:2206.05042, 2022 - arxiv.org
In today's world, everyone is expressive in some way, and the focus of this project is on
people's opinions about rising electricity prices in United Kingdom and India using data from …
people's opinions about rising electricity prices in United Kingdom and India using data from …
Improving sentiment analysis using text network features within different machine learning algorithms
AM Alnasrawi, AMN Alzubaidi… - Bulletin of Electrical …, 2024 - beei.org
Sentiment analysis poses a significant challenge due to the inherent subjectivity of natural
language and the prevalence of unstandardized dialects in social networks. Regrettably …
language and the prevalence of unstandardized dialects in social networks. Regrettably …
Pelican Optimization Algorithm with Deep Learning for Aspect based Sentiment Analysis on Asian Low Resource Languages
Recently, sentiment analysis (SA) has become more popular as it is crucial to moderate and
examine the data from the internet. It contains several applications, such as social media …
examine the data from the internet. It contains several applications, such as social media …