Exploratory Analysis of Amazon Product Reviews Dataset comprising of various categories spanning over 14 years
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Updated
Dec 8, 2018 - HTML
Exploratory Analysis of Amazon Product Reviews Dataset comprising of various categories spanning over 14 years
The Text Summarizer Web Application utilizes Python, Flask, NLTK, and Bootstrap for creating concise summaries from long texts. No frills, just an efficient tool for simplifying complex content.
I developed a Flask application using NLTK and Docker. Within the application, I created a JSON file named intents, which contains various questions and answers. The Chatbot in the application responds to user queries using the data provided in the intents file.
This project is part of Udacity's Data Scientist Nanodegree. In it, we use natural language processing (NLP) to analyze messages from real-world disasters for categorization.
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