L-M-6: A Democratic Approach to Movie Rating with AI
By Muhammad Wisal and Muhammad Ali / 3 min read
At Lowerated, we are committed to using artificial intelligence to improve the way films are rated. Our latest development, the L-M-6 algorithm, represents a significant step forward in achieving this goal.
The Origin of Lowerated
Lowerated was created to appreciate the underrated and underappreciated art in filmmaking. The name "Lowerated" reflects our mission to give a fair and accurate rating to films that might not get the attention they deserve. Our goal is not to rate films lower, but to rate them properly, ensuring every film gets the recognition it deserves.
What is L-M-6 Movie Rating?
L-M-6 is the sixth module in our series of advancements at Lowerated. Each module has brought us closer to creating a reliable and comprehensive film rating system. L-M-6 is designed to evaluate films based on seven key aspects:
The Big 7:
- Cinematography: Visual storytelling through camera work and lighting.
- Direction: The creative and managerial process guiding the film's artistic and dramatic aspects.
- Story: The narrative and plot that drive the film's events.
- Unique Concept: The originality and novelty of the film's idea or theme.
- Production Design: The visual look of the film, including sets, locations, props, and costumes.
- Characters: The portrayal and development of individuals in the film.
- Emotions: The emotional impact and connection the film creates with its audience.
How Does L-M-6 Movie Rating Work?
1. Data Collection:
L-M-6 starts with the IMDB dataset that includes detailed reviews and ratings for many films. This dataset is continuously updated to ensure that our algorithm reflects the latest trends and viewer opinions. Our datasets are available on Hugging Face for community use and feedback.
2. Analysis:
Using natural language processing (NLP) techniques, L-M-6 analyzes reviews to extract sentiments and insights related to each of the seven key aspects. This helps the algorithm understand a film’s strengths and weaknesses.
3. Scoring:
L-M-6 uses a rolling mean approach to update film scores dynamically. As new reviews come in, the algorithm recalculates scores to reflect the most current audience opinions. This ensures our ratings stay relevant and accurate over time.
4. Insights:
Beyond just scoring, L-M-6 generates detailed insights that explain why a film received a particular rating. These insights help filmmakers understand what worked well in their films and where there might be room for improvement.
The Impact
L-M-6 is making a big difference for filmmakers, viewers, and the film industry as a whole:
- For Filmmakers: L-M-6 provides valuable feedback that can guide future projects. It helps creators understand their audience better and improve their craft.
- For Viewers: Our algorithm offers more reliable and insightful ratings, helping movie lovers find films that match their tastes.
- For the Industry: By promoting a more objective and comprehensive evaluation system, L-M-6 sets new standards for film criticism and appreciation.
What Matters More in a Movie?
We conducted a survey to see which aspect is ranked higher in a movie. You can also share your preference by answering the question below.
What Matters More in a Movie
The survey helps in ranking the importance of seven key aspects of filmmaking: cinematography, direction, story, unique concept, production design, characters, and emotions. Participants rate each aspect based on their significance, providing valuable data that will be used to assign weights to these aspects in Lowerated's AI algorithm, enhancing the accuracy and relevance of the movie rating system.
Explore Our Work
- Dataset: Our dataset is available on Huggingface. (data)
L-M-6: Lowerated Movie Rating Dataset
- Model: The model that drive the L-M-6 algorithm is available on Huggingface. (model)
L-M-6: Lowerated Movie Rating Model
- Hugging Face Space: Our interactive space allows users to test the L-M-6 algorithm in real-time. (space)
GitHub
For those interested in the technical aspects of our work, we have a comprehensive GitHub repository. It includes detailed documentation, code samples, and tools for implementing and extending the L-M-6 algorithm. Explore our GitHub library atlowerated/L-M-6-Lowerated .
L-M-6: Lowerated Movie Rating Library
Join Us
We invite you to explore the capabilities of L-M-6 on our Hugging Face space. Test our algorithm, provide feedback, and be part of the AI-driven transformation in filmmaking. At Lowerated, we are dedicated to pushing the boundaries of what’s possible in the cinematic arts. With L-M-6, we aim to create a more creative, inclusive, and innovative film industry.
Together, let's redefine the way we appreciate films with AI. Lowerated is here to ensure that every piece of art gets the appreciation it truly deserves.
