TOPIC MODELING FOR USER FEEDBACK DATASET
This study analyzed 15,000 mobile app feedback entries using the Top2Vec model, which integrates word embeddings and clustering for topic modeling. Compared to traditional methods like LDA, Top2Vec produced more meaningful and diverse topics, effectively capturing user concerns such as glitches, performance, and experience. It shows strong potential for improving app development through better feedback […]
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