Page 295 - Ai Book - 10

6. Which term describes the rules and arrangement of words in a language?

a. Semantics b. Syntax
c. Pragmatics d. Phonetics

7. What is the purpose of Term Frequency in TFIDF?
a. Measure of the rareness of a term b. Identify the value of each word

c. Frequency of a word in one document d. Measure document frequency
8. What is the statistical measure used to identify the value for each word in TFIDF?

a. Term Frequency b. Inverse Document Frequency
c. Document Frequency d. Semantic Weight

9. Which technique is used to convert text into a numeric form in NLP?
a. Optical Character Recognition b. Bag of Words

c. Speech Recognition d. Conversational User Interface
10. What is the primary application of TFIDF.

a. Extracting relevant information b. Detecting malware
c. Designing graphics d. Analysing stock market trends

B. Fill in the blanks.
1. AI-enabled Chatbots differ from traditional chatbots in their ability to learn from each _______________.

2. The human brain continuously processes sound and _______________ when someone speaks.
3. The arrangement of words in a language is described by the term _______________.
4. TFIDF stands for _______________.
5. In TFIDF, the frequency of a word in one document is referred to as _______________ frequency.
6. Inverse Document Frequency (IDF) measures the _______________ of a term across multiple documents.

7. Bag of Words is a technique used to convert text into a numeric _______________.
8. The statistical measure used to identify the importance of each word in TFIDF is Inverse _______________
Frequency.
9. The primary application of TFIDF is extracting _______________ information from a document.
10. Semantic Weight is not a term associated with TFIDF; instead, the correct term is Inverse Document
_______________.

C. State ‘T’ for True or ‘F’ for False statements.
1. AI-enabled chatbots must be explicitly trained for every interaction.

2. The human brain processes sound continuously, even when someone is silent.
3. Syntax in language refers to understanding the meanings of words.

4. TFIDF is a method to transform text into numeric form.
5. Term Frequency measures the rarity of a term across multiple documents.

6. Bag of Words is a technique used to extract features from image data.
7. NLP allows computers to understand and speak human languages directly.

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