Data Science Exam 3 Solved 2024
Aspect Based Sentiment Analysis - ANSWER-Focuses on the recognition of all
sentiment expressions within a given document and the aspects to which the opinions
refer.
Association Mining - ANSWER-Procedure which is meant to find frequent patterns,
correlations, associations, or casual structures found in various databases ("what items
are related/associated with each other")
Used to improve decision making in a wide variety of applications (ex: medical
diagnosis, GIS)
Comparative Sentiment Analysis - ANSWER-Identify sentences that contain users
expressing their opinions by comparing to a similar product or brand.
Descriptive Analytics - ANSWER-Most simple form.
Allows you to condense big data into more useful information.
Allows you to analyze past and present data ("what happened & why" or "whats
happening right now & why").
Difference between relational databases and data formatted for Pivot Table Analysis -
ANSWER-A relational database is a structured database used to recognize relations
among stored items of information.
Data formatted for a Pivot Table allows you to extract significance from a large, detailed
data set.
Document level Sentiment Analysis - ANSWER-Each document focuses on an entity or
event that contains opinions from a single opinion holder
Forecasting - ANSWER-This is a planning tool that helps management cope with the
uncertainty of the future- relying mainly on data from the past and present and analysis
of trends.
Attempt to predict future outcomes.
Ex: informed opinion and judgement, Delphi method, market research, etc.
Hadoop - ANSWER-Stores data on multiple machines (provides framework)
Ex: stores real time cable box activity for 5,000,000 customers by region
Hierarchies - ANSWER-Tableau automatically separates fields into hierarchies and you
can create custom ones.
Ex: region, country, state- allows you to quickly drill down between levels
Hierarchy among structures - ANSWER-bytes- characters
field- single fact or attribute of an entity
Aspect Based Sentiment Analysis - ANSWER-Focuses on the recognition of all
sentiment expressions within a given document and the aspects to which the opinions
refer.
Association Mining - ANSWER-Procedure which is meant to find frequent patterns,
correlations, associations, or casual structures found in various databases ("what items
are related/associated with each other")
Used to improve decision making in a wide variety of applications (ex: medical
diagnosis, GIS)
Comparative Sentiment Analysis - ANSWER-Identify sentences that contain users
expressing their opinions by comparing to a similar product or brand.
Descriptive Analytics - ANSWER-Most simple form.
Allows you to condense big data into more useful information.
Allows you to analyze past and present data ("what happened & why" or "whats
happening right now & why").
Difference between relational databases and data formatted for Pivot Table Analysis -
ANSWER-A relational database is a structured database used to recognize relations
among stored items of information.
Data formatted for a Pivot Table allows you to extract significance from a large, detailed
data set.
Document level Sentiment Analysis - ANSWER-Each document focuses on an entity or
event that contains opinions from a single opinion holder
Forecasting - ANSWER-This is a planning tool that helps management cope with the
uncertainty of the future- relying mainly on data from the past and present and analysis
of trends.
Attempt to predict future outcomes.
Ex: informed opinion and judgement, Delphi method, market research, etc.
Hadoop - ANSWER-Stores data on multiple machines (provides framework)
Ex: stores real time cable box activity for 5,000,000 customers by region
Hierarchies - ANSWER-Tableau automatically separates fields into hierarchies and you
can create custom ones.
Ex: region, country, state- allows you to quickly drill down between levels
Hierarchy among structures - ANSWER-bytes- characters
field- single fact or attribute of an entity
