Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
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Updated
Dec 5, 2023 - Python
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
This script can tell you the sentiments of people regarding to any events happening in the world by analyzing tweets related to that event
🔍 This project is about searching the twitter for job opportunities using popular hashtags and applying sentiment analysis on this. #️⃣ 🐦
top 1% solution to toxic comment classification challenge on Kaggle.
This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)
Arabic support for textblob
Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.
Simple example of using TextBlob to perform sentiment analysis
Sentiment Analysis Project using Natural Language Processing (NLP) Techniques
Basic script to retrieve and perform Sentiment Analysis on Facebook Posts.
Application made with Node.js and Python.
NLP with TextBlob Workshop
Inhibits commits with bad messages from getting merged
Data Practicum II
Analisis sentimen masyarakat Indonesia terhadap kebijakan pemerintah mengenai vaksin COVID-19.
Sentiment analysis of economic news headlines and examining their effects on stock market changes without the full article or analysis. Awareness and click generation are important roles for business news headlines as well. The effect can be demonstrated.
This is a machine learning based sentiment analysis web application using python's nltk library and deployed using flask api on Heroku server.
A project to stream tweets & analyse their sentiments.
This repo contains project done by me in the course of tools in data science which is part of BSC degree in Programming and Data Science from IIT Madras
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