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Found 5 papers, 2 papers with code
Multi Class Depression Detection Through Tweets using Artificial Intelligence
About 4. 89 billion individuals are social media users.
Hierarchical Text Classification of Urdu News using Deep Neural Network
The objectives of this paper are twofold: (1) to develop a large human-annotated dataset of news in Urdu language for hierarchical text classification; and (2) to classify Urdu news hierarchically using our proposed model based on LSTM mechanism named as Hierarchical Multi-layer LSTMs (HMLSTM).
Co-occurrences using Fasttext embeddings for word similarity tasks in Urdu
In this paper, we have built a corpus for Urdu by scraping and integrating data from various sources and compiled a vocabulary for the Urdu language.
NUBOT: Embedded Knowledge Graph With RASA Framework for Generating Semantic Intents Responses in Roman Urdu
The understanding of the human language is quantified by identifying intents and entities.
A Diverse Clustering Particle Swarm Optimizer for Dynamic Environment: To Locate and Track Multiple Optima
Although, many algorithms have been proposed to handle dynamic problems but still, there are some limitations or drawbacks in every algorithm regarding diversity of particles and tracking of already found optima.
