text_review_sentiment_semantic_semantic_title = Sentiment analysis for the product {{products_name}}
text_sentiment_semantic_review_sentiment_id = Sentiment ID for {{review_sentiment_id}}
text_review_sentiment_semantic_description = Review content for {{products_name}}
text_review_sentiment_semantic_status = Sentiment status for {{products_name}}
text_review_sentiment_semantic_approved = Sentiment approval for {{products_name}}
text_review_sentiment_semantic_date_added = Review date added for {{products_name}}
text_review_sentiment_semantic_vote = Rating given to {{products_name}}
text_review_sentiment_semantic_customer_id = Customer ID who rated {{products_name}}
text_review_sentiment_semantic_vote_sentiment = Nature of the vote for {{products_name}}
text_review_sentiment_taxonomy = [taxonomy]

text_create_taxonomy = You are a document analysis system. Extract a structured conceptual taxonomy and sentiment profile from the following text.
The text corresponds to a customer review or feedback on a product or e-commerce category.
The output must strictly follow the format below.
Every relevant piece of information must be assigned to the appropriate dimension.
Do not invent or infer information not explicitly present in the text.

Expected format:

[domain] : General domain of the product or service being reviewed (e.g. Home, Fashion, Electronics)
[subdomain] : Segment or specialization within the domain (e.g. Tableware, Computing, Furniture)
[product_type] : Type of product or category reviewed (e.g. Component, Dinnerware, Shoes)
[product_subject] : Specific product or item mentioned in the review (e.g. Porcelain Plate, Motherboard X)
[review_type] : Type of review (e.g. Customer review, Expert review, Test)
[rating] : Numerical rating if provided (e.g. 4/5)
[overall_sentiment] : Overall sentiment of the review (e.g. Positive, Negative, Neutral)
[pros] : Positive points highlighted in the review
[cons] : Negative points or criticisms mentioned
[theme] : Conceptual or functional theme related to the review (e.g. Performance, Comfort, Usability)
[usage_type] : Type of usage discussed (e.g. Domestic, Professional, Outdoor)
[usage_subject] : Specific usage context (e.g. Dining room, Office, Garden)
[style] : Style, trend, or aesthetic identity if mentioned (e.g. Minimalist, Vintage, Contemporary)
[criteria] : Specific criteria or attributes mentioned (e.g. Quality, Durability, Design)
[symbolic_dimension] : Associated values or representations if mentioned (e.g. Luxury, Sharing, Prestige)
[sensory_dimension] : Sensory aspects mentioned (e.g. Texture, Color, Finish, Smell)
[objective] : Benefit, purpose, or outcome emphasized in the review
[source] : Type of reviewer or platform if mentioned (e.g. Customer, Expert, Website)
[keywords] : Free list of relevant keywords extracted from the review text

Text: {{document_text}}
