Author Analysis

A system for analyzing texts

Overview

This project consists of three subsystems

• frontend: a web interface to the system, requiring input and displaying results.
• webserver: web server that feeds user input to the backend system, and sends results to the frontend.
• backend: a machine learning system that performs the work of analyzing texts and making predictions.

Installation

See the respective READMEs for

• frontend
• webserver
• backend

Server-Client protocol

Author Recognition

endpoint: /api/attribution

{-| Request to the server
The genre and featureSet attributes are identifiers refering to a predefined
setting.

Example JSON:
{ "knownAuthorTexts": [ "lorem", "Hello World!" ]
, "unknownAuthorText": "ipsum"
, "language": "EN"
, "genre": 0
, "featureSet": 0
}

-}
type alias ToServerAttribution =
    { knownAuthorTexts : List String
    , unknownAuthorText : String
    , language : String
    , genre : number
    , featureSet : number
    }


{-| Response from the server

Example JSON:
{ "sameAuthorConfidence": 0.67 }

-}
type alias FromServerAttribution =
    { sameAuthorConfidence : Float }

Author Profiling

endpoint: /api/profiling

{-| Request to the server
The genre and featureSet attributes are identifiers refering to a predefined
setting.

Example JSON:
{ "text": "lorem ipsum"
, "language": "EN" }

-}
type alias ToServerProfiling =
    { text : String
    , language : String }


{-| Response from server

Example JSON:
{ "Age groups": { "18-24": 0.2
                , "25-34": 0.2
                , "35-49": 0.2
                , "50-64": 0.2
                , "65-xx": 0.2
                }
, "Genders": { "Male": 0.4
             , "Female": 0.6
             }
}

-}
type alias FromServerProfiling =
    { "Age groups": { "18-24": number
                    , "25-34": number
                    , "35-49": number
                    , "50-64": number
                    , "65-xx": number
                    }
    , "Genders": { "Male": number
                 , "Female": number
                 }
    }