#SarangiPapers
All papers (research, reports, articles) collected as part of research for the Sarangi project. Also includes separate Summary html files for genre and mood.
###Pdf Code Specification
- G{number}: For documents related to Genre based Classification
- M{number}: For documents related to Mood based Classification
- O{number}: For any other useful documents
###Summary Format for Genre-based classification
- Paper Code: The identification code of the paper.
- Title: The title of th paper.
- Author(s): The author(s) of the paper.
- Date: The year of the publication. More specific date only when necessary.
- Pages: Number of pages of the document.
- Data Source: Where the authors acquired the dataset for the training.
- Algorithms used: The machine learning algorithms used.
- Formality rating: How formal is the paper? On a scale of 5.
- 5: Published in highly esteemed journals (eg: the IEEE journal) and highly cited and popular.
- 4: Published in highly esteemed journals (eg: the IEEE journal).
- 3: Any other formally created research paper.
- 2: College project reports.
- 1: Personal hobby research/project reports.
- Interest rating: How relevant is the paper to us? On a scale of 5. Higher the rating, higher the chance of it being viewed again.
- Genre: What Genre does the paper use for classification?
- Intro notes: Notes from the introductory sections, literature review, etc.
- Body Notes: Notes from the 'body' of the paper.
###Disclaimer The guidelines and formats are highly subjective and strict adherence is not expected. Contributors are free to use their own descretion.