Retail and Ecommerce
Takes a product description, title, and additional optional parameters, and generatesa new title ( < 80 characters)a new short description of the product ( < 160 characters)a new long description of the product ( < 500 characters)
Natural Language Processing
Text summarization reduces larger body of text for quicker consumption. This has variety of
Takes a product description, title, and additional optional parameters, and generatesa new title ( < 80 characters)a new short description of the product ( < 160 characters)a new long description of the product ( < 500 characters)
Natural Language Processing
Text summarization reduces larger body of text for quicker consumption. This has variety of
This model generates ideal keywords for your product content. By adjusting creativity, you can get a wide variety of keywords.
A newer version of the Content generation solution. This takes a two step process, in the first step it extracts product specific features from the current descriptions and then uses it to generate new content. Generates or recreates a product's description using information from its title, brand, and either a set of product features or an old description. Optionally, choose what audience the description should be marketed to (e.g. "parents" or "professional musicians", and a tone for the new description (e.g. "fun" or "technical"). To specifically avoid terms, add them to the Avoid field (e.g. "Warning", "warranty") or to specifically include them, add them to the Keywords field.
Generates or recreates a product's description using information from its title, brand, and either a set of product features or an old description. Optionally, choose what audience the description should be marketed to (e.g. "parents" or "professional musicians", and a tone for the new description (e.g. "fun" or "technical"). To specifically avoid terms, add them to the Avoid field (e.g. "Warning", "warranty") or to specifically include them, add them to the Keywords field.
This product classification model performs hierarchical product classification using discriminative techniques.The evaluation metrics are available at: Evaluation ResultsData set analysis details are as follows:Training DetailsEvaluation DetailsError DetailsSample Hierarchy VisualizationInterpretability
An older version of the content generation. Generates or recreates a product's description using information from its title, brand, and either a set of product features or an old description. Optionally, choose what audience the description should be marketed to (e.g. "parents" or "professional musicians", and a tone for the new description (e.g. "fun" or "technical"). To specifically avoid terms, add them to the Avoid field (e.g. "Warning", "warranty") or to specifically include them, add them to the Keywords field.Takes half the time of the Content Generation model.