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Sentimental Analysis

Based on pretrained ruBERTa model web app builded on flask framework. User can write comments in (on russian language) textform of any web-site or app, then model has been predict emojional type of the text in 3 classes:

Позитивный (Positive), Негативный (Negative) или Нейтральный (Neutral)

  • Already work app for deploy on any hosting services.
  • Can work with english and russian words, but specially trained for russian text.
  • Already finished CSS design for desktop version.

Example
312942045-71a56cef-c272-4d03-9615-ecb68ee82e3e-1

Quick start for Windows

With ai_kt.bat start app file.

  1. Clone this repo.
  2. Open copied folder and find ai_kt.bat file, then open with any text editor.
  3. Change path in folder to "X:<YOUR_PATH_TO_THIS_FOLDER>\Sentimental" then save it and close.
  4. Run this file and waiting for start in your browser on localhost.

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Sentimental Analysis web-app based on flask

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