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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.
With respect to Revenue Budget, Consider the following statement:
I. Tax revenues
II. Non-Tax revenues...
The government's focus on irrigation and flood mitigation projects in Bihar, as per the Union Budget 2024-25, is primarily aimed at addressing which of ...
What is the target for annual production of Green Hydrogen by 2030?
The IOC has selected _________, to host the 2022 Winter Olympics
The term "fiscal prudence" in the context of the NPS review committee refers to:
How many Bio-Input Resource Centres will be set up over the next 3 years to facilitate 1 crore farmers to adopt natural farming?
Consider the following statements and choose the option with correct Statements.
I- The Union government's non-debt receipts comprise revenue rec...
What is the purpose of the Anusandhan National Research Fund under Priority 8 of the budget?
To raise the quality of education the Prime Minister Shri Narendra Modi has announced a scheme Schools for Rising India (PM SHRI) for which the cabinet ...
Which scheme will be implemented over the next three years to promote the conservation values of Ramsar Sites 26 to 75?