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. #️⃣ 🐦

Arabic support for textblob

Inhibits commits with bad messages from getting merged

A Python programming course at Omnia, Fall 2024

Basic script to retrieve and perform Sentiment Analysis on Facebook Posts.

This is a machine learning based sentiment analysis web application using python's nltk library and deployed using flask api on Heroku server.

Simple example of using TextBlob to perform sentiment analysis

Perform sentiment analysis on tweets using NLTK and TextBlob!

This is a Natural Language Processing applications WebApp useful for basic NLP task implemented using State of the Art API's on Streamlit Framework

Vecna is a Python chatbot which recommends songs and movies depending upon your feelings

A python project that automates the analysis of tweets emotions

The simple application for logging (and translating) all speech from your microphone and speaker

Harnessing Machine Learning for classifying and estimating Twitter user's opinions and thoughts on a given topic.

In this repo i created a twitter sentiment analysis on flask app (web base).

This project provides a website that allows users to analyze real-time tweets from Twitter based on a specific hashtag. The website includes a tweet sentiment analyzer to determine the sentiment (positive, negative, or neutral) of the collected tweets.

Web Scraper to scrape articles from multiple websites at the same time.

The repository is about twitter sentiment analysis which determines the opinions of speakers tweeting around.