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Applications of NLP

Applications of NLP

Assessment

Interactive Video

Engineering, Information Technology (IT), Architecture

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video discusses the significance of Natural Language Processing (NLP) in analyzing unstructured data, which constitutes a large portion of industry data. It highlights various applications of NLP, such as sentiment analysis, chatbots, and machine translation, with examples like Twitter, Facebook, and Google Translate. The video also introduces fundamental NLP tasks, including tokenization, stemming, and lemmatization, and mentions that tokenization will be covered in the next video.

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5 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What percentage of industry data was unstructured in 2020?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What role does natural language processing play in extracting insights from unstructured data?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

Can you name some applications of NLP mentioned in the text?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the most common example of machine translation mentioned?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

What are some fundamental tasks of natural language processing?

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