Which of the following algorithms is best suited for handling high-dimensional and sparse datasets, commonly encountered in text processing and natural language processing tasks?
LDA is a probabilistic topic modeling algorithm that is particularly well-suited for handling high-dimensional and sparse datasets. It is commonly used in text processing and natural language processing tasks to discover latent topics within a collection of documents. LDA can automatically identify patterns and relationships in large corpora, making it a valuable tool for analyzing unstructured textual data. The other options (A) K-Nearest Neighbors, (B) Decision Trees, (C) Support Vector Machines, and (E) Linear Regression are not specifically designed for handling sparse and high-dimensional data, although they have their applications in various other data analysis tasks.
Consider the following statements about ‘Warli painting’:
1. Recently, an exhibition traces the artistic journey of the Mashe family ...
Recently Khelo India Youth Games started in which of the following states?
Recently which states govt inks MoUs worth Rs 18,590 cr with UAE based companies?
What is the objective of the Mukhyamantri Khet Suraksha Yojana implemented by the Uttar Pradesh government?
The Internal Ombudsman has been designated to the Credit Information Companies with effect from ________.
Union Commerce Minister Piyush Goyal has announced the launch of an e-platform · for Indian exporters that is expected to facilitate new export...
Who is the winner of the prestigious Norman Borlaug Field Award-2023, announced by the World Food Prize Foundation, given ?
Consider the following statement about “Exercise MITRA SHAKTI-2023".
1. Recently, “Exercise MITRA SHAKTI-2023” was conducted from in Aund...
What is the primary purpose of the PM KISAN AI-Chatbot (Kisan e-Mitra) launched by Union Minister Kailash Choudhary?
In 2023, who was elected as the new Chief Selector of the Indian Cricket Team?