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Financial Sentiment Analyzer Using Natural Language Processing


EmoDetect – Text Based Emotion Detector Using Hugging face Transformer With Flask App in Python

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Disaster Tweets Classifier Using Natural Language Processing


Disaster Tweets Classifier Using Natural Language Processing project involves detailed text analytics with a powerful classification algorithm to develop a machine learning classifier model that classifies disaster tweets based on an open-source research dataset available on Researchgate. As a proof-of-concept, this project helps users quickly and accurately identify critical information during emergency situations. Moreover, it includes a robust Flask web app that employs HTML, Javascript, CSS, and Flask with Python for the backend, making it highly versatile and user-friendly.
This tool offers immense value to professionals seeking to showcase their expertise in natural language processing, machine learning, and data science. By incorporating this project into your profile, you can demonstrate your proficiency in building and implementing complex predictive models, impressing potential employers and clients alike.

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Project Includes:

  1. Demo  Video
  2. Abstract
  3. Flask App
  4. Model building code (Jupyter Notebook)
  5. Synopsis
  6. Full Project Documentation
  7. Architecture Diagram
  8. Reference Papers
  9. Full Project Documentation
  10. Online support


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