Question
a.
The lack of stemming components
b.
The need for advanced schema
c.
The difficulty in smoothing frequency estimates
d.
The challenge of high-dimensional variable identification
Posted under Big Data Computing
Engage with the Community - Add Your Comment
Confused About the Answer? Ask for Details Here.
Know the Explanation? Add it Here.
Q. What is the main issue with the size of vocabularies in the context of textual data analytics?
Similar Questions
Discover Related MCQs
Q. In image processing, what is the purpose of image segmentation?
View solution
Q. What is the key purpose of object recognition in image processing?
View solution
Q. In unstructured information processing, why is segmentation considered a prerequisite for further processing steps?
View solution
Q. What is the practical importance of novelty detection in unstructured information processing?
View solution
Q. What can object relationships include in image processing?
View solution
Q. What methodologies can be applied to processing steps in both image analysis and unstructured information processing?
View solution
Q. What is the analogous concept to image segmentation in processing unstructured information from textual documents?
View solution
Q. What is the primary level of analysis at the word level relevant for in unstructured information processing?
View solution
Q. What is analogous to object recognition in unstructured information processing from textual documents?
View solution
Q. How is scene recognition performed in textual information processing?
View solution
Q. What is information extraction primarily referred to as in computer linguistics?
View solution
Q. What is an annotation in the context of information extraction?
View solution
Q. What does "shallow" NLP primarily focus on in the context of information retrieval and extraction?
View solution
Q. For what purposes has deep NLP mainly been used in the past?
View solution
Q. In the context of computer linguistics, what is emphasized by calling the IBM Watson system "DeepQA"?
View solution
Q. What is a key component in Deep NLP systems for knowledge extraction or analysis?
View solution
Q. How does the slot grammar used in the IBM Watson system enhance parsing for knowledge extraction?
View solution
Q. What is the primary transformation that deep parsing leads to in the context of knowledge extraction?
View solution
Q. What kind of engine is used in the DeepQA system for further processing the knowledge implied in the analyzed sentences?
View solution
Q. What does the term "machine readers" refer to in the context of Deep NLP with a focus on knowledge extraction?
View solution
Suggested Topics
Are you eager to expand your knowledge beyond Big Data Computing? We've curated a selection of related categories that you might find intriguing.
Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!
