Beyond Keywords: My Honest Take on Extracting Meaning from Text
Did you ever cook a stew and realize too late you forgot a key spice? That’s kind of how I felt the first time I tried automated keyword extraction. I slapped together some Python code, hit run, and—voila! The results were bland, missing the zing of human intuition. Today, I’m pulling back the curtain on what really happens when you let machines decide what words matter in your content, with some stories (and stumbles) from the trenches. When RAKE and TextRank Met My Blog: Algorithms With Attitude Last month, I decided to pit two of the most popular keyword extraction algorithms against each other using my own blog post about coffee brewing techniques. What started as a simple comparison between Rapid Automatic Keyword Extraction (RAKE) and the TextRank Algorithm turned into a head-scratching exercise that left me questioning everything I thought I knew about automated text analysis. Here...
