Introduction to Natural Language Processing

Q1 of 3outlined_flag

Which of the following are potential use cases of NLP?

A self driving car drawing your attention to an advertisement billboard

Given the audio of a song, and its lyrics generate a translated song audio

Understanding a cryptic language

Determining what are the chances that you will win a law suit based on outcomes of previous similar law suits

Q2 of 3outlined_flag

Which of the below tasks can be performed effectively even without using sophisticated NLP techniques

Identifying the main topic of a document assuming that its title is not provided

Detecting the language in a document

Extracting the phone number, email address and year of graduation from a resume

Substituting words like doesn't, can't, etc with does not, can not, etc

Q3 of 3outlined_flag

Spam email is a persistent problem that service providers have been trying to solve for years now. One of the key tasks in building an effective spam detection system is identifying the features of an email that could be used to classify the email as spam or not.

Rank the following features created based on the text content of an email based on your understanding of the feature's importance.

Language(English, French, etc.) used in the email text

3

Presence of words with spelling mistakes / non standard words

1

Emails addressed to you and contain your name

2

Consider this below review for co-sleeper sheets for a baby. What is the sentiment in the review?

"the shipping was quick. the colors are pretty but the sheets themselves are not soft"

Positive

Negative

Neutral

Q1 of 1outlined_flag

Assume that you have to build an NLP application that looks at a new document and estimates how similar it is to various text documents previously ingested. Consider that similarity of 2 documents is computed on the basis of presence of common words.

Based on your understanding of the NLP techniques discussed so far, what are various basic pre-processing steps that you will include in this application while processing the historic data and making inferences on a new document?

Options:

1. Remove any unwanted spaces, numbers, special characters, etc.

2. Convert all text into lower case

3. Create n-grams based on the text

4. Tokenize the text

5. Normalize data using stemming and lemmatization techniques

6. Determine the frequency of each word in each document and also in the whole corpus

7. Remove stop words from the text

8. Remove punctuation

9. Perform POS tagging on the text

All the steps listed above need to be done

a, b, d, f, g, h check

b, c, d, e, h, g

a, d, e, f, g

Which of the following sentences exhibit syntactic ambiguity? Tiny arrows and spears were used in battle The elephant carried the stone. It was huge The boy saw a girl with a telescope Enraged cow injures farmer with ax

ChatGPT

Syntactic ambiguity occurs when a sentence can be interpreted in more than one way due to its structure. The sentences exhibiting syntactic ambiguity are:

1. The boy saw a girl with a telescope: It is unclear whether the boy used a telescope to see the girl or the girl had a telescope.

2. Enraged cow injures farmer with ax: It is unclear whether the cow used an ax to injure the farmer or the farmer had an ax when he was injured.

The other two sentences are clear in their meanings:

• Tiny arrows and spears were used in battle: This sentence clearly indicates that both tiny arrows and spears were used.

• The elephant carried the stone. It was huge: The context makes it clear that "It" refers to the stone.

4o

Give me only correct answer

ChatGPT

The sentences that exhibit syntactic ambiguity are:

• The boy saw a girl with a telescope.

• Enraged cow injures farmer with ax.

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Which of the following is/are keyword Normalization techniques in NLP? Stemming ✔ removal of stop words Parts of Speech Tagging Lemmatization Reset Save

ChatGPT

The keyword normalization techniques in NLP are:

• Stemming

• Lemmatization

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Which of the below given Python library can be used to process natural language? NLTK Pandas Numpy Matplotlib Reset Save

ChatGPT

The Python library that can be used to process natural language is:

• NLTK

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Google News Aggregator is example of Machine Translation Application Text Summarization Application NER Application Information Retrieval Application Reset

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Google News Aggregator is an example of an:

• Information Retrieval Application

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Voice assistants like Alexa use which of the following techniques to effectively communicate with users in English? Speech recognition Natural language generation Location based contextual information Machine translation Reset Save

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Voice assistants like Alexa use the following techniques to effectively communicate with users in English:

• Speech recognition

• Natural language generation

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Which of the following are the modern NLP algorithms? 8 12 Rule based algorithms Statistical Approach Machine Learning Deep Learning Reset Save

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The modern NLP algorithms are:

• Machine Learning

• Deep Learning

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Select True or False: Word embeddings are the vector representation of text. Otrue false Reset Save

ChatGPT

True

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NLP words 'eaten', 'eating are converted to 'eat. This is the output of which of the below mentioned process? Stop word removal Named Entity Recognition Stemming Parser Reset Save

ChatGPT

This is the output of the process:

• Stemming

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One of the main challenges in NLP is: 8 12 OPOS tagging Stop word removal Handling ambiguity in sentence None of the above Reset Save

ChatGPT

One of the main challenges in NLP is:

• Handling ambiguity in sentence

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Chatbots in healthcare help in which of the following ways? Diagnosing the patient's condition automatically Managing a patient's medication Provide guidance to perform surgery ☐ Prescribe medication for simple diseases Reset Save

ChatGPT

Chatbots in healthcare can help in:

• Managing a patient's medication

• Provide guidance to perform surgery

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Which of the following is the correct meaning of Named entity recognition (NER) Questi Finding spans of text that constitute proper names and then classifying the type of the entity. Mapping between name and entity. Classification of text into subject and predicates Searching text for proper nouns. Reset Save

ChatGPT

The correct meaning of Named Entity Recognition (NER) is:

• Finding spans of text that constitute proper names and then classifying the type of the entity.

4o mini

" book flight ticket", "I read this book in the flight". Identify the given ambiguity in the sentence Anaphoric Ambiguity Lexical Ambiguity Syntax Ambiguity Semantic Ambiguity Reset Save

ChatGPT

The given ambiguity in the sentences is:

• Lexical Ambiguity

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Identify the service that automatically extracts text and data from scanned documents Amazon Textract Amazon Translate Amazon Transcribe Amazon Polly Reset Save

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The service that automatically extracts text and data from scanned documents is:

• Amazon Textract

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Which one of the following is not a pre-processing technique in NLP? Stemming and Lemmatization converting text to lowercase Removing punctuations and stop words Sentiment analysis Reset Save

ChatGPT

The technique that is not a pre-processing technique in NLP is:

• Sentiment analysis

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Which of the following is NLP Application? 12 Detecting objects from an image Biometric Recognition Stock market prediction Text Summarization 8 Reset Save

ChatGPT

The NLP application among the options is:

• Text Summarization