Fast Detection of Short Text Repetition Using Keyword Sequence Analysis
The paper introduces a rapid keyword‑sequence analysis technique that strips special characters, extracts repeated keyword phrases, measures their character proportion, and computes a repetition rate, enabling efficient detection of duplicate short texts in content publishing and product‑listing scenarios.
This article presents a method for quickly detecting duplicate short texts, which is useful in scenarios such as content publishing and product listings to reduce low‑quality repetitive text.
Core Challenges
The main difficulty lies in identifying repeated keyword phrases, calculating their proportion in the total characters, and then computing the repetition rate.
Removing Special Characters
First, special characters are stripped using a regular expression, simplifying the string for further analysis.
const demoText = '高压洗车水枪，一喷轻松洗车不等待，全铜4分6分高压水枪可调节喷枪接头套装浇花灌溉园，高压洗车水枪，一喷轻松洗车不等待';const specialTextReg = /[\s·！#￥（——）：；“”‘、，|《。》？、【】[\]`~!@#$%^&*()_+<>?:\Signed-in readers can open the original source through BestHub's protected redirect.
This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactand we will review it promptly.
How this landed with the community
Was this worth your time?
0 Comments
Thoughtful readers leave field notes, pushback, and hard-won operational detail here.