To filter and cluster thousands of keywords in Google Sheets using AI, you can follow these steps:
Data Preparation: First, organize your keywords in a single column of a Google Sheets document. Make sure there are no duplicates and that each keyword is clearly listed.
Using Google Apps Script: You can leverage Google Apps Script to create custom functions to process your keywords. Go to Extensions -> Apps Script and create a new script. Here’s an example of a script that can help filter keywords based on specific criteria:

javascript
function filterKeywords(keywordList, criterion) {
return keywordList.filter(keyword => keyword.includes(criterion));
}

You can call this function from a cell in your sheet to filter keywords that meet your specific criterion.
Clustering with Machine Learning: For clustering keywords, you can utilize AI-powered tools or libraries. One approach is to export your keywords to a Machine Learning platform (such as Google Colab or a Jupyter Notebook) where you can use libraries like Scikit-learn or K-means clustering.

Here’s a basic outline of how you could cluster keywords using K-means in Python:

python
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.cluster import KMeans

# Assuming you have a list of keywords
keywords = […] # Load your keywords

# Convert the keywords into a TF-IDF matrix
vectorizer = TfidfVectorizer(stop_words=’english’)
X = vectorizer.fit_transform(keywords)

# Apply KMeans clustering
num_clusters = 5 # or some number that makes sense for your dataset
kmeans = KMeans(n_clusters=num_clusters)
kmeans.fit(X)

# Get cluster labels
labels = kmeans.labels_

# Combine keywords with their respective clusters
clustered_keywords = {i: [] for i in range(num_clusters)}
for i, label in enumerate(labels):
clustered_keywords[label].append(keywords[i])

print(clustered_keywords)
Importing Results Back to Google Sheets: Once you have clustered your keywords, you may want to import the results back into Google Sheets. You can do this by saving the results as a CSV and then uploading it to your Google Sheets.
Visualization: In Google Sheets, you can further visualize the clustered keywords using charts or conditional formatting to highlight different clusters.
Integrating Third-Party Tools: If coding is not preferable, consider using AI tools like Google’s Natural Language API or other keyword clustering SaaS applications that can integrate with Google Sheets, allowing you to import and process keywords more seamlessly.

By following these steps, you can effectively filter and cluster thousands of keywords in Google Sheets with the help of AI methodologies.