Multi-class sentiment analysis of urdu text using multilingual BERT
Sentiment analysis (SA) is an important task because of its vital role in analyzing people's
opinions. However, existing research is solely based on the English language with limited …
opinions. However, existing research is solely based on the English language with limited …
[PDF][PDF] Approaches, tools and applications for sentiment analysis implementation
The paper gives an overview of the different sentiment classification approaches and tools
used for sentiment analysis. Starting from this overview the paper provides a classification of …
used for sentiment analysis. Starting from this overview the paper provides a classification of …
[HTML][HTML] A survey on sentiment analysis in Urdu: A resource-poor language
Background/introduction The dawn of the internet opened the doors to the easy and
widespread sharing of information on subject matters such as products, services, events and …
widespread sharing of information on subject matters such as products, services, events and …
Urdu sentiment analysis with deep learning methods
Although over 169 million people in the world are familiar with the Urdu language and a
large quantity of Urdu data is being generated on different social websites daily, very few …
large quantity of Urdu data is being generated on different social websites daily, very few …
Analytical mapping of opinion mining and sentiment analysis research during 2000–2015
The new transformed read-write Web has resulted in a rapid growth of user generated
content on the Web resulting into a huge volume of unstructured data. A substantial part of …
content on the Web resulting into a huge volume of unstructured data. A substantial part of …
[HTML][HTML] Sentiment classification of Roman-Urdu opinions using Naïve Bayesian, Decision Tree and KNN classification techniques
Sentiment mining is a field of text mining to determine the attitude of people about a
particular product, topic, politician in newsgroup posts, review sites, comments on facebook …
particular product, topic, politician in newsgroup posts, review sites, comments on facebook …
Context-aware emotion detection from low-resource urdu language using deep neural network
MF Bashir, AR Javed, MU Arshad… - ACM Transactions on …, 2023 - dl.acm.org
Emotion detection (ED) plays a vital role in determining individual interest in any field.
Humans use gestures, facial expressions, and voice pitch and choose words to describe …
Humans use gestures, facial expressions, and voice pitch and choose words to describe …
A journey of Indian languages over sentiment analysis: a systematic review
In recent years, due to the availability of voluminous data on web for Indian languages, it has
become an important task to analyze this data to retrieve useful information. Because of the …
become an important task to analyze this data to retrieve useful information. Because of the …
Lexicon-based approach outperforms Supervised Machine Learning approach for Urdu Sentiment Analysis in multiple domains
Web is facilitating people to express their views and opinions on different topics through
reviews and blogs. Effective advantages can be reaped from these reviews and blogs by …
reviews and blogs. Effective advantages can be reaped from these reviews and blogs by …
UTSA: Urdu text sentiment analysis using deep learning methods
The Internet has seen substantial growth of regional language data in recent years. It
enables people to express their opinion by incapacitating the language barriers. Urdu is a …
enables people to express their opinion by incapacitating the language barriers. Urdu is a …