Summary
The video provides a detailed walkthrough of building a lead classification automation using the Vector Shift platform. It covers identifying companies for classification, implementing a classification algorithm, and setting up a pipeline to categorize companies into various industries. The process involves utilizing a Google search node for data collection and a language model to guide the classification into categories like consumer packaged goods and retail. The demonstration includes testing the process with a sample company list and automating the classification for multiple companies efficiently. Overall, the method streamlines the classification process by reading data from Google Sheets, classifying companies, and updating the results back to the spreadsheet.
Introduction to Lead Classification Automation
Explanation on how to build a lead classification automation through the Vector Shift platform.
Identifying Companies for Classification
Discussing the process of identifying companies for classification and applying the classification algorithm to each item on the list.
Building a Pipeline
Creating a pipeline to categorize companies into different industries for classification.
Performing Google Search
Utilizing a Google search node to gather information on the companies for classification.
Using Language Model for Classification
Incorporating a language model to guide the classification process into different categories such as consumer packaged goods and retail.
Testing the Classification
Testing the classification process with a sample company list and confirming successful classification results.
Automating Classification Process
Setting up a pipeline to automate the classification process for multiple companies.
Wrapping Up the Classification Process
Finalizing the classification process by reading data from Google Sheets, classifying companies, and writing the results back to the spreadsheet.
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