NAM,YOSHI - HARVESTING BRAND INFOS FROM SOCIAL TAGS Flashcards

1
Q

REASONS FOR SOCIAL TAGS

A
  • build, manage & share a collection of content
  • search & discover specific content
  • describe & share social communication
  • search, monitor & generate trending topics
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2
Q

INSIGHTS FROM SOCIAL TAGS

A
  • understand users interpretation and perception of content
  • capture customers consideration set
  • understand competitive market structure
  • monitor engagement and participation in topics
  • capture the voice of customers
  • understand the context of brand usage experience
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3
Q

MOTIVATIONS FOR CREATING SOCIAL TAGS

A
  1. Content classification/Categorization
    - Self-oriented motivation
    - social communication
  2. Content Description
    - Self-oriented motivation
    - social communication
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4
Q

ANALYZING METHOD PROCESS

A
  1. Data collection = specified set of social tag content
  2. Association elicitation = evaluating tags association with a brand based on predefined metrics for example “co-occurrence volume”
  3. Aggregation & Visualization = holistic description of a brand for example via brand-centric map
  4. Analysis of disaggregate-level data = applying text-mining techniques & data reduction methods to understand disaggregate-level information
    - > user-level disag brand associations & temporal disag brand associations
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5
Q

BRAND ASSOCIATION APPROACHES

A
  1. Primary data-based approach
    - labor intensive
    - qualitative analysis -> require specialized expertise
    - static analysis at specific time period
    - small sample size -> more expensive
  2. Text-mining approach
    - discover patterns in raw text, extract relevant info from textual data
    - automatically -> less labor, time&expertise required
    - updated on real-time->dynamic
    - extracted from larger customer base -> more associations
  3. Social tag-based approach
    - ability to capture non-textual data
    - sensitive to consumer biases & social influences
    - low costs compared to 1./2.
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6
Q

MANAGERIAL IMPLICATIONS

A
  • social tags complement text mining approach
  • opportunity to observe consumer heterogeneous perception of brand content
  • dynamic insights on change of consumer perception about brands
  • ## input for customer segmentation -> how brand associations vary across segments
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