Sentiment analysis techniques, challenges, and opportunities: Urdu language-based analytical study
Sentiment analysis in research involves the processing and analysis of sentiments from
textual data. The sentiment analysis for high resource languages such as English and …
textual data. The sentiment analysis for high resource languages such as English and …
Exploiting linguistic features for effective sentence-level sentiment analysis in Urdu language
Rapid increase in the use of social media has led to the generation of gigabytes of
information shared by billions of users worldwide. To analyze this information and determine …
information shared by billions of users worldwide. To analyze this information and determine …
[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 …
Innovations in urdu sentiment analysis using machine and deep learning techniques for two-class classification of symmetric datasets
KB Muhammad, SMA Burney - Symmetry, 2023 - mdpi.com
Many investigations have performed sentiment analysis to gauge public opinions in various
languages, including English, French, Chinese, and others. The most spoken language in …
languages, including English, French, Chinese, and others. The most spoken language in …
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 …
Identifying promising technologies of electric vehicles from the perspective of market and technical attributes
L Feng, K Liu, J Wang, KY Lin, K Zhang, L Zhang - Energies, 2022 - mdpi.com
The vigorous development of electric vehicles (EVs) can promote the green and low-carbon
development of society and the environment. However, the research and development of …
development of society and the environment. However, the research and development of …
Transforming language translation: a deep learning approach to Urdu–English translation
Abstract Machine translation has revolutionized the field of language translation in the last
decade. Initially dominated by statistical models, the rise of deep learning techniques has …
decade. Initially dominated by statistical models, the rise of deep learning techniques has …
Contextually enriched meta-learning ensemble model for Urdu sentiment analysis
The task of analyzing sentiment has been extensively researched for a variety of languages.
However, due to a dearth of readily available Natural Language Processing methods, Urdu …
However, due to a dearth of readily available Natural Language Processing methods, Urdu …
Neural machine translation for in‐text citation classification
The quality of scientific publications can be measured by quantitative indices such as the h‐
index, Source Normalized Impact per Paper, or g‐index. However, these measures lack to …
index, Source Normalized Impact per Paper, or g‐index. However, these measures lack to …
Weighted Joint Sentiment‐Topic Model for Sentiment Analysis Compared to ALGA: Adaptive Lexicon Learning Using Genetic Algorithm
A Osmani… - Computational …, 2022 - Wiley Online Library
Latent Dirichlet Allocation (LDA) is an approach to unsupervised learning that aims to
investigate the semantics among words in a document as well as the influence of a subject …
investigate the semantics among words in a document as well as the influence of a subject …