Table 1

Research objectives and methods

Broader fieldMethodOutput
Consumer-driven product insightsContent analysis (key-words, topic mining)
Sentiment and emotions analysis
Combination of text-mining and standard statistical analysis
Numerical evaluation of reviews, using sentiment analysis
Determination of the prevailing emotion in the text
Linking sentiment the star ranking, price, and usefulness of review
Determination of most common terms for each of the analysed topics
Identification of most discussed aspects
Determination of key topics in the reviews related to a producer
Product characteristics (most important characteristics, evaluation of product and its characteristics, comparative/competitive characteristics with other products)
Consumer demography
Price sensitivity and strategic pricingSentiment analysis, standard statistical methodsPrice-quality ratio (Perceived quality of product per unit of price)
Comparative analysis of “most important” traits by product price categories
Boosting corporate performanceContent analysis (key-words, topic mining)
Sentiment and emotions analysis
Combination of text-mining and standard statistical analysis
Product (characteristics, quality, price) analysis and improvement
Comparative product analysis (characteristics, quality, price)
Competitive analysis

Source(s): Authors own

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