Models
Text Summarization
This model helps to summarizes text. Text summarization is quite useful when you have scan significant amount of text such as meeting notes or customer service case summary. Interested? Please contact us marketplace@thinkdeeply.com. We will be expedite this.
Text Extraction (Product Search)
Extract text from product labels or any other text based images to identify products.
Content Generation V2
A newer version of the Content generation solution.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.
Content Generation V1
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.
Product Classification
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
Content Generation (deprecated)
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.