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    Printed Page:- 04                                      Subject Code:- ACSAI0622
                                                           Roll. No:
             NOIDA INSTITUTE OF ENGINEERING AND TECHNOLOGY, GREATER NOIDA
                       (An Autonomous Institute Affiliated to AKTU, Lucknow)
                                                     B.Tech
                             SEM: VI - THEORY EXAMINATION (20.....-
                                                           2022-202320.....)
                                       Subject: Social Media Analytics
      Time: 3 Hours                                                                   Max. Marks: 100
    General Instructions:
    IMP: Verify that you have received the question paper with the correct course, code, branch etc.
    1. This Question paper comprises of three Sections -A, B, & C. It consists of Multiple Choice
    Questions (MCQ’s) & Subjective type questions.
    3. Illustrate your answers with neat sketches wherever necessary.
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    2. Maximum marks for each question are indicated on right -hand side of each question.
    4. Assume suitable data if necessary.
    5. Preferably, write the answers in sequential order.
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    evaluated/checked.
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    6. No sheet should be left blank. Any written material after a blank sheet will not be
    1. Attempt all parts:-
                                               SECTION A
                                                       Ja                                              20
    1-a.
                                                     3
              Which are multiple word sequences ? [CO1]
                                           2
                                                                                                        1
                      (a) Corpus
                      (b) Ngrams
                                       2 -
                           0 2
                      (c) Stopwords
                      (d) Tokenization
    1-b.
                      2
              After stemming , the words which we get after removing the affixes is called ?
              [CO1]
                                                                                                        1
                      (a) Stemmed words
                      (b) Stemma
                      (c) Fruit Word
                      (d) Shoot Word
    1-c.      What is classification in data mining ? [CO2]                                             1
                      (a) Setting up a target data
                      (b) Data mining procedure to sort data
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             (c) A method to find data
             (d) Generalizing structures
1-d.   Data mining is also known as knowledge mining of data ? [CO2]                         1
             (a) TRUE
             (b) FALSE
1-e.   How does PageRank work ? [CO3]                                                        1
             (a) It counts the number of times a page has been liked or shared
             (b) It considers the links between pages, giving higher rank to pages that are
             linked to by other high-ranking pages
             (c) It ranks pages based on the number of comments they receive
             (d) It ranks pages based on the number of followers they have
1-f.   What is a "filter bubble" in social media analytics ? [CO3]                           1
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             (a) The tendency of users to only consume information that confirms their
             existing beliefs or opinions
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             (b) The tendency of users to ignore information from their friends and family
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             (c) The tendency of users to only follow users who are similar to themselves
             (d) The tendency of users to only post positive content on social media
1-g.
                                                Ja
       Topic model techniques is/are _________ ? [CO4]
             (a) Latent semantic indexing (LSI).
                                                                                             1
                                              3
             (b) Probabilistic latent semantic analysis (PLSA).
                                  2
                              2 -
             (c) Latent Dirichlet allocation (LDA).
             (d) All of the above.
1-h.
                     2
       Which of the following is not a type of classification problem ? [CO4]
                   0
                                                                                             1
              2
             (a) Binary classification
             (b) Multi-class classification
             (c) Multi-label classification
             (d) Clustering
1-i.   Trend analysis ? [CO5]                                                                1
             (a) is used only in financial planning.
             (b) can improve control system response
             (c) requires a very expensive system to implement
             (d) is a brand new concept.
1-j.   What data is Google Analytics Goals unable to track ? [CO5]                           1
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                (a) Customer's lifetime value
                (b) Making a purchase
                (c) Watching a video
                (d) Signing up for a newsletter
2. Attempt all parts:-
2.a.     What do you understand by Natural Language Processing ? [CO1]                      2
2.b.     Is Google a web search? [CO2]                                                      2
2.c.     What is Node in Essentials of social media ? [CO3]                                 2
2.d.     Why classification in needed? [CO4]                                                2
2.e.     What is social media analytics and how does it benefit an organization ? [CO5]     2
                                         SECTION B                                         30
3. Answer any five of the following:-
3-a.     Explain various methods of NER ? [CO1]
                                                                               n e          6
3-b.     Explain unigram, bigram and trigram model ? [CO1]
                                                                       Ju                   6
3-c.
3-d.
         Explain various benefits of data mining in detail ? [CO2]
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         Describe the concept of social graphs ? [CO2]               _                      6
3.e.
3.f.
                                               Ja
         What are the benefits of recommendations in social media ? [CO3]
         How can LDA be used in real-world applications such as recommender systems
                                                                                            6
                                                                                            6
         or sentiment analysis ? [CO4]
                                   2         3
3.g.
                               2 -
         Explain few key areas where we can use social media analytics ? [CO5]
                                         SECTION C
                                                                                            6
                                                                                           50
4-a.                   2
4. Answer any one of the following:-
                     0
         Explain N-gram model. What is N-gram model used for ? [CO1]                       10
4-b.
                2
         Explain the complete process of sentiment classification ? [CO1]
5. Answer any one of the following:-
                                                                                           10
5-a.     Explain various types of social graphs in detail ? [CO2]                          10
5-b.     Explain with diagram role of social graphs in digital marketing ? [CO2]           10
6. Answer any one of the following:-
6-a.     What is machine learning, and how is it used in social media analytics ,explain   10
         with an example ? [CO3]
6-b.     How can influence be measured in social networks, and what are some               10
         common methods used to identify influential nodes or communities ? [CO3]
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7. Answer any one of the following:-
7-a.     What is text processing and what are its applications, Explain in detail with    10
         example ? [CO4]
7-b.     Can Phrase Mining be used to extract sentiment from text data, if yes please     10
         explain with an example ? [CO4]
8. Answer any one of the following:-
8-a.     Explain various types of trend analysis also compare between Text, Web, and      10
         Social Media Analytics with their importance in business needs and scenarios ?
         [CO5]
8-b.     Explain five real world examples of text mining also explain how Twitter         10
         analytics and Google Analytics work ? [CO5]
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                                             Ja
                                  2        3
                              2 -
                    0 2
                 2
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