- An algorithm that provides accurate ratings for any entity.
- Uses diverse sources: reviews, links, documents, and other resources.
- Completely unbiased.
- Combines AI and human evaluation to determine the true rating of an entity.
- Anything that can be rated.
- Examples include films, cars, books, music, furniture, even your partner.
- In the case of Lowerated, we're dealing with "Movies".
- We have predefined research attributes that, when measured, give a comprehensive understanding of the item. Let's use a movie as an example.
We evaluate a movie based on seven attributes:
- Cinematography - Visual appeal and camera work.
- Direction - How well the director conveys the story.
- Story - Plot coherence and engagement.
- Characters - Depth and development of characters.
- Production Design - Quality of the sets and overall look.
- Unique Concept - Originality of the idea.
- Emotions - Emotional impact on the audience.
We gather reviews from multiple critics and users. Our AI extracts information from the text inputs and assigns numerical values to each attribute. This process is repeated for all reviews, and we average the results.
Each attribute is given a percentage value from 0-100%, reflecting its presence in the movie.
We have identified key attributes for multiple entities, detailed in the listed Entities & Attributes.
Check out the steps to use Lowerated here.
Before using the Entity
class, ensure you have the required libraries installed:
lowerated
You can install these libraries using pip:
pip install lowerated
- Import the necessary modules and classes:
from lowerated.rate import Entity
from lowerated.rate.utils import entities, find_attributes
- Define the
Entity
class with its methods.
Get a list of available entities and their attributes:
entities = entities()
print(entities)
To see a specific entity's attributes, use the code below:
entity_name = "Movie"
attributes = find_attributes(entity_name)
print(attributes)
Create an instance of the Entity
class by specifying the entity name and optionally its attributes:
entity_name = "Movie"
attributes = ['Cinematography', 'Direction', 'Story', 'Characters', 'Production Design', 'Unique Concept', 'Emotions']
movie_entity = Entity(entity_name, attributes)
Rate the attributes of an entity using a list of textual reviews:
reviews_list = ["Great movie!", "Not worth the price.", "Excellent cinematography."]
rating = movie_entity.rate(reviews=reviews_list)
print(rating)
Rate the attributes of an entity using a file containing reviews. Supported file formats are CSV, Excel (XLSX), and TXT.
file_path = "reviews.csv" # Can be .csv, .xlsx, or .txt
rating = movie_entity.rate(file_path=file_path)
print(rating)
Rate the attributes of an entity using a URL to download the file containing reviews:
download_link = "https://example.com/reviews.xlsx" # Can be .csv, .xlsx, or .txt
rating = movie_entity.rate(download_link=download_link)
print(rating)
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