Text-Analytics-Tool and Streamlit-TextAnalysis-app

Text-Analytics-Tool
32
Emerging
Streamlit-TextAnalysis-app
22
Experimental
Maintenance 0/25
Adoption 7/25
Maturity 8/25
Community 17/25
Maintenance 0/25
Adoption 1/25
Maturity 8/25
Community 13/25
Stars: 40
Forks: 9
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 1
Forks: 2
Downloads:
Commits (30d): 0
Language: Python
License:
No License Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Text-Analytics-Tool

prakharrathi25/Text-Analytics-Tool

This is an application that automates the process of text analysis with a user-friendly GUI. 📱 It has been implemented using Python and deployed with the Streamlit package.

This tool helps non-technical users analyze text data through a simple interface. You can input text documents, emails, or reviews and generate visualizations like word clouds, identify common phrases, detect spam, analyze sentiment, summarize content, and extract key entities. It's designed for anyone who needs to quickly derive insights from text without writing code.

text analysis content evaluation market research email management customer feedback

About Streamlit-TextAnalysis-app

Ajay-user/Streamlit-TextAnalysis-app

NLP app covering common task like part-of-speech tagging, sentiment analysis, and text-summarization.

Scores updated daily from GitHub, PyPI, and npm data. How scores work