Text Analyzer

Zane Tipton

Completed work

AI Automation

Data Analyst

Data Scraper

Python

Artificial Intelligence

Ultimate Text Analyzer

A Python-based command-line tool that analyzes any text string for:

Sentiment (positive/negative + confidence)

Keywords (top 5 relevant terms/phrases)

Toxicity (non-toxic, offensive, or hateful)

Built using Hugging Face Transformers and KeyBERT.

Example

Enter text to analyze: I hate everything about this dumb app.

Output:

Sentiment Analysis: {‘label’: ‘NEGATIVE’, ‘score’: 0.998}

Keywords: [‘dumb app’, ‘hate everything’]

Toxicity Detection: {‘toxicity_level’: ‘Hateful’, ‘confidence’: 0.956}

How to Run

Clone or download this repo

Install dependencies:

pip install -r requirements.txt

3.	Run the analyzer: python main.py

Tech Used
	•	transformers – for sentiment + toxicity
	•	keybert – for keyword extraction
	•	torch – used under the hood for model inference

Example Use Cases
	•	Content moderation
	•	Text summarization prep
	•	Sentiment or intent classification

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Completed work

Posted Jul 2, 2025

Developed a Python tool for text analysis using Hugging Face and KeyBERT.

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