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

Simple example of using TextBlob to perform sentiment analysis

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

Inhibits commits with bad messages from getting merged

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

Perform sentiment analysis on tweets using NLTK and TextBlob!

A project to stream tweets & analyse their sentiments.

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

Telegram bot for translation messages to certain languages

simple script for downloading Youtube comments without using the Youtube API

Plugin for Wox that translates between English and any other language

This Python code retrieves thousands of tweets, classifies them using TextBlob and VADER in tandem, summarizes each classification using LexRank, Luhn, LSA, and LSA with stopwords, and then ranks stopwords-scrubbed keywords per classification.

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

Twitter sentiment analysis using tweepy api.

This is an GUI Instant Translator built in Python 3.7.

For UCI-ISURF project