BhaswatiRoy/Complete-Text-Analysis-Streamlit-Web-App
This is a Text Analysis App which can be used to find a detailed analysis of a particular text. This includes 5 main types of Analysis - Spam/Ham Detection, Sentiment Analysis, Stress Detection, Hate & Offensive Content Detection, Sarcasm Detection
This web application helps you quickly understand the underlying characteristics of any piece of text. You input a text, and it provides analysis on whether it's spam, its overall sentiment (positive/negative), if it expresses stress, contains hate speech, or is sarcastic. This tool is ideal for content moderators, customer service managers, or anyone needing to quickly assess textual communication.
No commits in the last 6 months.
Use this if you need a quick, multi-faceted analysis of short text snippets to understand their tone and intent.
Not ideal if you need to process very large volumes of text or require highly nuanced, domain-specific text analysis.
Stars
29
Forks
10
Language
Python
License
—
Category
Last pushed
Feb 22, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/BhaswatiRoy/Complete-Text-Analysis-Streamlit-Web-App"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
khanfarhan10/TextSentimentAnalysis
Text Sentiment Analysis in Python using Natural Language Processing (NLP) for Negative/Positive...
Davisy/Swahili-Tweet-Sentiment-Analysis-App
A simple app to analyze the sentiment of Swahili tweets.
mathrailsAI/sentiment_insights
SentimentInsights is a Ruby gem for extracting actionable insights from qualitative survey...
netisheth/Churn-Prediction-and-Analysis
Extracted live tweets of customers by using Twitter APIs to create automatic rule-based churn...
harrychangjr/tiktok-analytics
Enhanced Tiktok dashboard using Streamlit and Plotly