The Database Quiz
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A database is a structured set of electronic data held in a computer and not physically tangible. The database quiz below is for all the techies who are revising for their database exams. Take it up and all the best.
- 1.Text analytics is the subset of text mining that handles information retrieval and extraction, plus data mining
- A.
True
- B.
False
- 2.In text mining, inputs to the process include unstructured data such as Word documents, PDF files, text excerpts, e-mail and XML files
- A.
True
- B.
False
- 3.4. During information extraction, entity recognition (the recognition of names of people and organizations) takes place after relationship extraction
- A.
True
- B.
False
- 4.Categorization and clustering of documents during text mining differ only in the preselection of categories
- A.
True
- B.
False
- 5.Articles and auxiliary verbs are assigned little value in text mining and are usually filtered out
- A.
True
- B.
False
- 6.The bag-of-words model is appropriate for spam detection but not for text analytics.
- A.
True
- B.
False
- 7.Chinese, Japanese, and Thai have features that make them more difficult candidates for natural language processing
- A.
True
- B.
False
- 8.Regional accents present challenges for natural language processing
- A.
True
- B.
False
- 9.Detecting lies from text transcripts of conversations is a future goal of text mining as current systems achieve only 50% accuracy of detection.
- A.
True
- B.
False
- 10.. In text mining, creating the term-document matrix includes all the terms that are included in all documents, making for huge matrices only manageable on computers
- A.
True
- B.
False
- 11.In text mining, if an association between two concepts has 7% support, it means that 7% of the documents had both concepts represented in the same document
- A.
True
- B.
False
- 12.In sentiment analysis, sentiment suggests a transient, temporary opinion reflective of one's feelings
- A.
True
- B.
False
- 13.Current use of sentiment analysis in voice of the customer applications allows companies to change their products or services in real time in response to customer sentiment.
- A.
True
- B.
False
- 14.In sentiment analysis, it is hard to classify some subjects such as news as good or bad, but easier to classify others, e.g., movie reviews, in the same way.
- A.
True
- B.
False
- 15.The linguistic approach to speech handles processes elements such as intensity, pitch and jitter from speech recorded on audio
- A.
True
- B.
False
- 16.According to a study by Merrill Lynch and Gartner, what percentage of all corporate data is captured and stored in some sort of unstructured form
- A.
15%
- B.
85%
- C.
25%
- D.
75%
- 17.Which of these applications will derive the LEAST benefit from text mining
- A.
Sales transaction file
- B.
patent description files
- C.
customer comment files
- D.
patients' medical files
- 18.. In text mining, stemming is the process of
- A.
creating new branches or stems of recorded paragraphs.
- B.
) reducing multiple words to their base or root
- C.
categorizing a block of text in a sentence.
- D.
transforming the term-by-document matrix to a manageable size.
- 19.. In text mining, tokenizing is the process of
- A.
transforming the term-by-document matrix to a manageable size
- B.
reducing multiple words to their base or roo
- C.
categorizing a block of text in a sentence
- D.
creating new branches or stems of recorded paragraphs
- 20.All of the following are challenges associated with natural language processing EXCEPT
- A.
dividing up a text into individual words in English.
- B.
understanding the context in which something is said
- C.
recognizing typographical or grammatical errors in texts.
- D.
distinguishing between words that have more than one meaning
- 21.. What application is MOST dependent on text analysis of transcribed sales call center notes and voice conversations with customers?
- A.
CRM
- B.
OLAP
- C.
Finance
- D.
ERP
- 22.. In text mining, which of the following methods is NOT used to reduce the size of a sparse matrix?
- A.
eliminating rarely occurring terms
- B.
using singular value decomposition
- C.
using a domain expert
- D.
normalizing word frequencies
- 23.What data discovery process, whereby objects are categorized into predetermined groups, is used in text mining?
- A.
classification
- B.
trend analysis
- C.
association
- D.
clustering
- 24.Sentiment classification usually covers all the following issues EXCEPT
- A.
range of polarity (e.g., star ratings for hotels and for restaurants).
- B.
classes of sentiment (e.g., positive versus negative).
- C.
range in strength of opinion
- D.
biometric identification of the consumer expressing the sentiment.
- 25.. In sentiment analysis, which of the following is an implicit opinion?
- A.
The cruise we went on last summer was a disaster
- B.
Our new mayor is great for the city.
- C.
The customer service I got for my TV was laughable.
- D.
The hotel we stayed in was terrible.
- 26.What do voice of the market (VOM) applications of sentiment analysis do?
- A.
They examine the "market of ideas" in politics
- B.
They examine employee sentiment in the organization.
- C.
They examine customer sentiment at the aggregate level.
- D.
They examine the stock market for trends.
- 27.. How is objectivity handled in sentiment analysis?
- A.
It is clarified with the customer who expressed it
- B.
It is incorporated as a type of sentiment.
- C.
It is identified and removed as facts are not sentiment
- D.
It is ignored because it does not appear in customer sentiment
- 28.Identifying the target of an expressed sentiment is difficult for all the following reasons EXCEPT
- A.
the review may not be directly connected to the target through the topic name.
- B.
sometimes there are multiple targets expressed in a sentiment.
- C.
strong sentiments may be generated by a computer, not a person.
- D.
blogs and articles with the sentiment may be general in nature.
- 29.. In text analysis, what is a lexicon?
- A.
a catalog of words, their synonyms, and their meanings
- B.
a catalog of customers, their words, and phrase
- C.
a catalog of customers, products, words, and phrase
- D.
a catalog of letters, words, phrases and sentences
- 30.What types of documents are BEST suited to semantic labeling and aggregation to determine sentiment orientation?
- A.
collections of documents
- B.
Medium- to large-sized documents
- C.
large-sized documents
- D.
small- to medium-sized documents
- 31.Inputs to speech analytics include all of the following EXCEPT
- A.
Written transcripts of calls to service centers
- B.
recorded conversations of customer call-ins.
- C.
videos of customer focus groups.
- D.
Live customer interactions with service representatives
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