#text mining

3posts

  1. How to Find Emerging Business Areas with Outlier Detection
    Can we find emerging business areas in advance by converting the names of goods and services listed in trademarks into vectors with a language model and measuring novelty with LOF? This post summarizes the four-step method, results, and limitations of a 2022 paper.
    Intellectual Property & Scholarly Data Analytics2026-10-10#business opportunity discovery#trademark analysis#language model#anomaly detection#text mining
  2. Reviewing a Flood of AI Papers with Language Models
    Can language models cluster AI papers and pinpoint emerging topics with numbers? This post reads a study that analyzed attention papers using half-yearly language models, four emergence indicators, and a topic evolution map.
    Intellectual Property & Scholarly Data Analytics2026-10-10#language model#topic modeling#text mining#systematic literature review#technology forecasting
  3. How to Find Social Issues with Web Data Networks
    How can we find social issues that suddenly draw a surge of attention, and when they occur? This post reads a paper that identified the urea solution issue using the structural entropy and influence scores of a keyword network.
    Social Media Analytics2026-10-10#issue detection#keyword network#structural entropy#community detection#text mining

Keywords

#language model2#business opportunity discovery1#trademark analysis1#anomaly detection1#topic modeling1#systematic literature review1#technology forecasting1#issue detection1#keyword network1#structural entropy1#community detection1