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Machine Learning / AI Advanced

Social Media Sentiment Analyzer

An NLP tool that fetches tweets about any keyword using Tweepy, analyzes sentiment using VADER and fine-tuned BERT, and displays results on an interactive Plotly dashboard with sentiment distribution pie chart, word cloud, and temporal sentiment trend line.

Tech Stack: Python, Tweepy, VADER, BERT, NLP, Flask, Plotly, Twitter API, Sentiment Analysis Downloads: 128

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Source Code

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Project Report

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Presentation Deck

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Viva Questions Prep

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Architecture Diagram

System workflow flowchart & data processing pipeline specs

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Academic Synopsis

University-standard 1-page project synopsis for pre-approval

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Setup & Run Guide

Step-by-step installation, environment setup & execution instructions

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Completion Certificate

Official ProjectHub certificate of completion personalized with your name

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100% Customizable — Make It Your Own
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Viva Questions & Answers

Prepare for your project viva with these likely questions and suggested answers.

1. What is the core objective of the Social Media Sentiment Analyzer and what real-world problem does it solve?
2. Explain the system architecture and end-to-end data flow in Social Media Sentiment Analyzer.
3. Why was Python, Tweepy, VADER, BERT, NLP, Flask, Plotly, Twitter API, Sentiment Analysis selected for this project over alternative frameworks?
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📐 System Architecture & Workflow

High-level architectural flowchart of the data flow and system modules.

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📄 Academic Synopsis (University Standard)

Pre-formatted 1-page project synopsis ready for college submission.

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ACADEMIC PROJECT SYNOPSIS...
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1. PROJECT TITLE:
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2. DOMAIN & FIELD:
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🚀 Excited to announce the successful completion of my major project!

As part of my Engineering curriculum...

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Add This to Your Resume

Copy-ready resume bullet points are included with this project.

• Engineered and deployed the Social Media Sentiment Analyzer, providing a robust solution for machine learning / ai challenges.

• Utilized a modern technology stack including Python, Tweepy, VADER, BERT, NLP, Flask, Plotly, Twitter API, Sentiment Analysis to build a highly scalable, secure, and modular application architecture.

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