It analyze the sentiment of the user, whether it is postive or negative.

Related tags

Text Data & NLP Sentiment-Analyzer-Tool
Overview

Sentiment-Analyzer-Tool

It analyze the sentiment of the user, whether it is postive or negative.

It uses streamlit library for creating this sentiment analyzer tool on a platform like web.

Requirement

  1. Scikit-Learn
  2. Python 3
  3. Streamlit
  4. Numpy
  5. Matplotlib

Just Download the repository, install the necessary libraries and then run

streamlit run file_name.py

in your command line and then you can interact with it in your browser.

Thank You!

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Comments
  • I've improved the Sentiment-Analyzer project and included it in the awesome-streamlit.org gallery. Hope it's ok?

    I've improved the Sentiment-Analyzer project and included it in the awesome-streamlit.org gallery. Hope it's ok?

    Hi Patidar

    I'm reaching out because I saw your awesome Sentiment-Analyzer-Tool developed in Streamlit.

    I think it's so awesome that I wanted to included it in the awesome-streamlit.org Gallery. I hope that is OK?

    In order to include it I had to refactor it so that the files are not loaded from the file folder.

    And then I took a look and did a larger refactoring of the layout and flow. After that I thought that I had done so many things that it was ok to credit the two of us in the way shown below. I hope it is Ok?

    image

    You're welcome to publish your awesome streamlit examples with you as Author at https://github.com/marcskovmadsen/awesome-streamlit. It's only a pull request away :-)

    Please note I have yet to solve some performance issues on Azure where it's deployed. The awesome-streamlit app is really fast locally :-)

    Thanks.

    Marc

    opened by MarcSkovMadsen 1
Owner
Paras Patidar
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