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Opinion Mining and Sentiment Analysis of Social Networks- Python Machine Learning AI Project

Python Opinion Mining and Sentiment Analysis of Social Networks Static Pages and other sections : The project "Opinion Mining and Sentiment Analysis of Social Networks" will include the following static pages: Home Page with a user-friendly interface An animated slider for images banner on the Home Page About Us page providing information about the project Contact Us page for project inquiries Technology Used in the project Opinion Mining and Sentiment Analysis of Social Networks The project has been developed using the following technologies: HTML: Page layout designed in HTML CSS: Styling done using CSS JavaScript: Validation tasks and animations implemented with JavaScript Python: Business logic implemented in Python MySQL: Database management using MySQL Django: Project developed on the Django Framework Python Library: Utilized python libraries such as numpy, nltk, pyparsing, PySocks Supported Operating System The project can be configured on the following operating systems: Windows: Easily configured on Windows OS by installing Python 3, PIP, and Django.
Technology Big-data Projects / Data Analytics Projects
Database Mysql Database
Project Type Major Project
Supported OS Windows / Mac / Linux
Project Price
$169.20 $135.36
100% Tested Code
Instant Download Access Full Source Code & DB Included
Source Code Included (Complete Scripts)
Project Documentation Available
Technical Helpline Support (+91-8470010001)
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Description

Python Opinion Mining and Sentiment Analysis of Social Networks

Static Pages and other sections :

The project “Opinion Mining and Sentiment Analysis of Social Networks” will include the following static pages:

  • Home Page with a user-friendly interface
  • An animated slider for images banner on the Home Page
  • About Us page providing information about the project
  • Contact Us page for project inquiries

Technology Used in the project Opinion Mining and Sentiment Analysis of Social Networks

The project has been developed using the following technologies:

  • HTML: Page layout designed in HTML
  • CSS: Styling done using CSS
  • JavaScript: Validation tasks and animations implemented with JavaScript
  • Python: Business logic implemented in Python
  • MySQL: Database management using MySQL
  • Django: Project developed on the Django Framework
  • Python Library: Utilized python libraries such as numpy, nltk, pyparsing, PySocks

Supported Operating System

The project can be configured on the following operating systems:

  • Windows: Easily configured on Windows OS by installing Python 3, PIP, and Django.
  • Linux: Compatible with all versions of Linux OS
  • Mac: Can be configured on Mac OS as well

Custom Tab Content

Technologies & Tools Used

Big-data Projects
Data Analytics Projects
Machine Learning Projects
Mysql Database

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