John Willusa
BANNED
- Feb 4, 2020
- 883
- 49
Great sharing .
Thank you so much mate .
Thank you so much mate .
Hello @BlogPro, I am truly grateful to you for this fantastic script. I have been using this script on a regular basis, and it has proven to be exceptionally proficient in handling a large volume of keywords. I conducted a test with over 50,000 keywords, and it performed without any issues.
I'm excited to hear about your plans to upgrade the script.
Is it possible to add filters within the script? These filters could include:
Additionally, I would like to make another request regarding a different feature or script:
- Excluding keywords that do not contain specific word(s).
- Retaining keywords that contain specific word(s).
- Eliminating keywords consisting of three or fewer words.
- Retaining keywords that consist of four or more words.
Could you kindly create a script that can group keywords?
Your expertise in this area would be greatly appreciated.
If op you can do what the member suggested will be perfectWorking on an enhanced version of this script.
Any specific features y'all would like to request?
Hello @BlogPro, I am truly grateful to you for this fantastic script. I have been using this script on a regular basis, and it has proven to be exceptionally proficient in handling a large volume of keywords. I conducted a test with over 50,000 keywords, and it performed without any issues.
I'm excited to hear about your plans to upgrade the script.
Is it possible to add filters within the script? These filters could include:
Additionally, I would like to make another request regarding a different feature or script:
- Excluding keywords that do not contain specific word(s).
- Retaining keywords that contain specific word(s).
- Eliminating keywords consisting of three or fewer words.
- Retaining keywords that consist of four or more words.
Could you kindly create a script that can group keywords?
Your expertise in this area would be greatly appreciated.
Saw a lot of you were having difficulty running this script locally, so created a Google Colab Notebook.Here's how you can use it 1. Open the Google Colab of the file here - Google Colab Link2. Make sure you're logged in to your Gmail and click theCopy to Drivebutton (just below the file name at the top) - if you're unable to find it, just clickFile >> Save a Copy in DriveIf you do it right, a new Window will open with your file's copy from your Google Drive3. Now, in the top menu, gotoRuntimeand click onRun All//That's it - your script is now ready to take your Keyword file and remove similar keywords. Here comes the fun part - 1. Step 1 of the file will download and install all dependencies.2. Step 2 - this is where it will ask you to upload yourkeywords.csv- just click on "Choose Files" and upload. 3. Once that is done, scroll to the very bottom and watch as the script runs its magic, generates the necessary embeddings etc. 4. Once it is done - it will ask you 2 questions1. Enter the similarity threshold (0 to 1, default: 0.8):Think of it like a percentage. So if you enter 0.90 - you're telling the script "Remove any keyword that is 90% or more similar to the others". If you enter "0.80" - you're asking for 80% or more - so on and so forth.2. Enter the output Excel file name (default: keywords_output.xlsx):Whatever you want the output file name to be. You can just hit enter.That's it you're done!To access your done files, simply click on the "File" icon (Fourth icon resembling a directory to the very left of your screen)And you should seekeywords_output.xlsxandunique_keywords.csvthere. Simply right-click and download. Let me know if you have any questions or get stuck.
Saw a lot of you were having difficulty running this script locally, so created a Google Colab Notebook.Here's how you can use it 1. Open the Google Colab of the file here - Google Colab Link2. Make sure you're logged in to your Gmail and click theCopy to Drivebutton (just below the file name at the top) - if you're unable to find it, just clickFile >> Save a Copy in DriveIf you do it right, a new Window will open with your file's copy from your Google Drive3. Now, in the top menu, gotoRuntimeand click onRun All//That's it - your script is now ready to take your Keyword file and remove similar keywords. Here comes the fun part - 1. Step 1 of the file will download and install all dependencies.2. Step 2 - this is where it will ask you to upload yourkeywords.csv- just click on "Choose Files" and upload. 3. Once that is done, scroll to the very bottom and watch as the script runs its magic, generates the necessary embeddings etc. 4. Once it is done - it will ask you 2 questions1. Enter the similarity threshold (0 to 1, default: 0.8):Think of it like a percentage. So if you enter 0.90 - you're telling the script "Remove any keyword that is 90% or more similar to the others". If you enter "0.80" - you're asking for 80% or more - so on and so forth.2. Enter the output Excel file name (default: keywords_output.xlsx):Whatever you want the output file name to be. You can just hit enter.That's it you're done!To access your done files, simply click on the "File" icon (Fourth icon resembling a directory to the very left of your screen)And you should seekeywords_output.xlsxandunique_keywords.csvthere. Simply right-click and download. Let me know if you have any questions or get stuck.

The new script should be ready in a week or so with the upgrades requested. And I am also making some progress with the clustering script.
Where does the final CSV appear?
amazing stuff, I just can find the final file :/
thanks! great stuffDid you run it on Colab or locally?
On colab, look for the file/folder icon to the very left of the screen. You should then see the files.