Application made with Node.js and Python.
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Updated
Mar 27, 2021 - HTML
Application made with Node.js and Python.
Twitter Sentiment analysis with polarity and subjectivity using Python
In an era marked by global security challenges, the "TAFRAS" emerges as a cutting-edge solution to tackle the ever-evolving threat of terrorism. The project is grounded in the urgent need for predictive systems that can anticipate, assess, and mitigate potential terrorist activities.
Twitter Sentiment Analysis using python flask and Textblob
Chatbot for the analysis of the blood donation process using sentiment analysis technique
4th module for Web Mining and NLP. This repo focuses on sentiment analysis using spacytextblob and working with JSON files
RANK ALGORITHM
SentiMap is a data visualization software that allows users to gain crucial insights into public sentiments surrounding climate change.
A tool that breaks down large text into its constituent parts and extracts linguistics properties of the text. Including sentiment and parts of speech.
Sentiment Analysis and Topic Classification
Analysis of Airplane Crashes Since 1908
SAT News Analyser is a web application offering in-depth news article analysis with features like sentiment analysis, genre detection, POS tagging, and reading time estimation. Supports URL-based content extraction, Google OAuth authentication, article history, and text-to-speech functionality. Built with Flask, PostgreSQL, and NLTK.
Enter keyword for Twitter search and get latest Tweets with sentiment on a Flask Webserver
Speech Recognition using OpenAI Whisper & TextBlob
This project is an Insurance Workflow Management System designed to streamline policy management, claims processing, and fraud detection. It includes user account management, customer feedback analysis via NLP, alert notifications through SMS, and a fraud detection model, providing a secure, efficient solution for insurance operations.
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