[HTML][HTML] Cluster analysis of urdu tweets
Document clustering allows a user to group semantically similar documents. It has been an
interesting research area for the past many years and various methods and techniques have …
interesting research area for the past many years and various methods and techniques have …
Urdu documents clustering with unsupervised and semi-supervised probabilistic topic modeling
Document clustering is to group documents according to certain semantic features. Topic
model has a richer semantic structure and considerable potential for helping users to know …
model has a richer semantic structure and considerable potential for helping users to know …
Similarity analysis in understanding online news in response to public health crisis
Background: The “Syphilis No!” campaign the Brazilian Ministry of Health (MoH) launched
between November 2018 and March 2019, brought forward the concept" Test, Treat and …
between November 2018 and March 2019, brought forward the concept" Test, Treat and …
Building dictionaries for low resource languages: Challenges of unsupervised learning
The development of natural language processing resources for Albanian has grown steadily
in recent years. This paper presents research conducted on unsupervised learning-the …
in recent years. This paper presents research conducted on unsupervised learning-the …
Evaluation of clustering techniques on Urdu News head-lines: A case of short length text
Document clustering and topic modelling methods are useful in determining groups of
semantically similar documents. In literature, various studies have been conducted to …
semantically similar documents. In literature, various studies have been conducted to …
[HTML][HTML] Modeling of Total Dissolved Solids (TDS) and Sodium Absorption Ratio (SAR) in the Edwards-Trinity Plateau and Ogallala Aquifers in the Midland-Odessa …
AI Udeh, OJ Imarhiagbe, EJ Omietimi - Journal of Geoscience and …, 2024 - scirp.org
Efficient water quality monitoring and ensuring the safety of drinking water by government
agencies in areas where the resource is constantly depleted due to anthropogenic or natural …
agencies in areas where the resource is constantly depleted due to anthropogenic or natural …
Optimized Feature Representation for Odia Document Clustering
Document clustering is the task of organizing textual content into groups so that they are
more similar to one another than to those in other groups. Several text clustering algorithms …
more similar to one another than to those in other groups. Several text clustering algorithms …
Classification of URDU headline news using Bidirectional Encoder Representation from Transformer and Traditional Machine learning Algorithm
the web is full of unstructured data and getting the right information from that is a crucial
problem. Recent advancements in the field of data mining on English Corpus provided the …
problem. Recent advancements in the field of data mining on English Corpus provided the …
[PDF][PDF] Impact of Distance Measures on Urdu Document Clustering
Z Nasim, S Haider - Proceedings of the 36th Pacific Asia …, 2022 - aclanthology.org
Document Clustering aims to group similar documents based on the distance among them.
A wide range of distance measures are available in the literature, and selecting an …
A wide range of distance measures are available in the literature, and selecting an …
Slick–An NLP based novel self-containing document smart storage services architecture
A Jain, P Mahawar, D Pantola, M Gupta… - Intelligent Decision … - content.iospress.com
Recent research suggests that by 2023, the production of data will exceed 300 exabytes per
month, a figure surpassing human verbal communication by over 60 times. This exponential …
month, a figure surpassing human verbal communication by over 60 times. This exponential …