Sentiment Analysis | Websites

Sejal Jadhav

Website's front-end
Website's front-end
This is a Python-based application which I have deployed on Streamlit, an interactive web application framework. The application seamlessly retrieves the URL of the client's website, utilizing web scraping techniques. By employing sentiment analysis algorithms, the app accurately calculates sentiment scores for the website's content. The sentiment analysis results are then presented to the user, providing an insightful overview of the sentiment conveyed by the input website.
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Posted May 16, 2023

Built a Python app, deployed on Streamlit which uses web scraping and sentiment analysis - provides accurate sentiment scores and insights on website content.

Machine-learning | Lead-Score Model
Machine-learning | Lead-Score Model
Business Analysis | Motor Stampings
Business Analysis | Motor Stampings

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