Frequency-based summarization extracts frequently occurring terms, n-grams, or phrases to represent a text’s main topics. It is a straightforward extractive method, but rigid frequency rules can miss context and nuance. section 6.3.4
A practical workflow usually:
- Uses selected keywords to form a short extractive summary rather than generating fluent paraphrases. section 6.3.4
Customer reviews
For a review stating that a device works efficiently but has the wrong brand name, frequency-based summarization selects “efficient,” “brand,” and “device.” Those terms are useful signals, but they omit the relationship between performance and mislabeling.
