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ks-1234 / REAL-TIME-SENTIMENT-ANALYSIS

Interpretation and classification of emotions (positive, negative and neutral) within text data using text analysis techniques.

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REAL-TIME-SENTIMENT-ANALYSIS

Project ID: 17

✍  PROJECT DESCRIPTION

It refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. It can be widely applied to voice of the customer materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from marketing to customer service to clinical medicine.

📂  RELEVANT TECHNOLOGY

Any web technology can be used but I am thinking about using Python ecosystem.

  • Python
  • Machine Learning
  • Natural Language Processing

💻  GETTING STARTED

=> Fork this repository to start contributing.

=> Open your Git Bash command window and in the root directory type the following commands :

    1) git init -initializes the git repository from the GitHub. 
    2) git clone -Clone the repository to your local machine
      (git clone https://github.com/<your-github-username>/LetsUpgrade/REAL-TIME-SENTIMENT-ANALYSIS.git)

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Interpretation and classification of emotions (positive, negative and neutral) within text data using text analysis techniques.