AI Text Analyzer GUI in Python | PyQt5 NLP Project (Sentiment + NER + PDF/DOCX)

Описание: Learn how to build an AI Text Analyzer GUI in Python using PyQt5 + NLP in this step-by-step tutorial. This project performs sentiment analysis, named entity recognition (NER), tokenization/POS tagging, and even reads text directly from PDF and DOCX files using popular Python libraries. Perfect for B.Sc/M.Sc CS students, GATE/ISRO aspirants, and anyone who wants a real desktop NLP project for their portfolio.​

In this video, you will learn:

How to design a modern PyQt5 GUI for desktop applications

How to use NLTK VADER for sentiment analysis (Positive/Negative/Neutral scores)

How to use spaCy for NER (PERSON, ORG, GPE, etc.)

How to extract text from .txt, .pdf, .docx files inside your app

How to combine all features into one clean Python script you can run in Spyder or any IDE​

📂 Source code & commands (pip install, model downloads) are shown clearly in the video so you can follow along and customize it for your own projects or mini-project submissions.​

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