How to quantify the description filed in the model?

[bearnxx]

There are some string fields in the model, like product_description, product_keywords, business_solution, technical_solution and so on.

How can these features be Quantified in the predictive model？

[xalperte]

In our datasets we have different type of fields: numerical, categorical, and textual. The textual fields, such these ones appointed by you, are used in our models after some natural language processing tasks (translation into english, tokenization, remove stopwords, lemmatization, stemming, n-gramm identification, identification of entities, enrichment with synonyms, etc.) and transformed into term frequencies or word embeddings representations, such as word2vec, to use them in predictive modeling. They are especially useful when you try to do segmentation (by market, specialty, etc.), identify similar companies, or competitors, etc.

[bearnxx]

Very clear. Thanks 😁