story-review-mimo

Automated manuscript review uses natural language processing to analyze text across seven dimensions like structure, character, and consistency. It eliminates manual checks by processing your project directory directly to provide a detailed quality report.

Yes, story consistency and commercial potential are standard review dimensions. The process evaluates your writing project across seven areas, specifically including structure, character development, writing style, and commercial viability.

Automated text analysis requires pandas, numpy, scikit-learn, nltk, and spacy. These Python libraries handle data manipulation, natural language processing, and text analysis to execute the multi-dimensional manuscript review.

To run an automated manuscript review in the MiMo Code environment, type '/story-review-mimo <project directory>'. This command initiates the text analysis and generates a detailed report on your writing project.

Yes, the automated text analysis tool is applicable for screenplay development and creative writing projects. It evaluates narrative quality and consistency across multiple dimensions for various writing formats.

Multi-dimensional manuscript review analyzes seven dimensions: structure, character, writing, commerciality, and consistency. It applies natural language processing to evaluate these aspects and generate a comprehensive quality report.