#sentiment analysis

5posts

  1. Scoring Product Opportunities with Importance and Satisfaction
    Can a single score identify the features that customers consider important but are not satisfied with in social media posts? This post outlines the logic behind calculating an opportunity score and practical points to watch out for.
    Social Media Analytics2026-10-10#social media analytics#sentiment analysis#customer reviews#business opportunity discovery#product planning#event detection
  2. Social Media Analytics Research: Where Does It Stand Now?
    Which platforms and analytical methods are suitable for using customer opinions on social media in business decision-making? This systematic review of 57 papers examines research trends and gaps.
    Social Media Analytics2026-10-10#social media analytics#business intelligence#customer reviews#sentiment analysis#topic modeling#systematic literature review
  3. How to Track Changes in Product Opportunities with Online Reviews
    Can we track month by month which product attributes are frequently mentioned in reviews but have low satisfaction? This post reads a paper on an iPad case that uses topic modeling, sentiment analysis, and TOPSIS to examine changes in product opportunity rankings.
    Social Media Analytics2026-10-10#customer reviews#topic modeling#sentiment analysis#social media analytics#business opportunity discovery#multi criteria decision making
  4. Finding the Product Attributes Customers Care About in Social Media Posts
    Can social media posts alone reveal the product attributes customers talk about and even set the order of improvements? This post follows the procedure of calculating opportunity scores from LDA topics and sentiment scores, using the Galaxy Note 5 as a case.
    Social Media Analytics2026-10-10#social media analytics#topic modeling#sentiment analysis#product planning#opportunity algorithm
  5. Finding Product Improvement Directions Through Customer Experience by Usage Period
    If customer reviews are divided by how long customers have used the product, can we see separate points to improve in the early use stage and the long-term use stage? We read a paper that analyzes smartwatch reviews with a rank-based dynamic IPA map.
    Social Media Analytics2026-10-10#customer reviews#topic modeling#sentiment analysis#importance performance analysis#product improvement#wearable

Keywords

#social media analytics4#customer reviews4#topic modeling4#business opportunity discovery2#product planning2#event detection1#business intelligence1#systematic literature review1#multi criteria decision making1#opportunity algorithm1#importance performance analysis1#product improvement1#wearable1