Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.

My Insight Data Engineering Fellowship project. I implemented a big data processing pipeline based on ​lambda architecture​, that aggregates Twitter and US stock market data for user sentiment analysis using open source tools - ​Apache Kafka ​for data ingestions, Apache Spark ​& ​Spark Streaming ​for batch & real-time processing, ​Apache Cassandra f​ or storage, ​Flask​, ​Bootstrap and ​HighCharts f​ or frontend.

Code to reproduce the simple sentiment analysis from my presentation

TweetNLP for all the NLP enthusiasts working on Twitter! The Python library tweetnlp provides a collection of useful tools to analyze/understand tweets such as sentiment analysis, emoji prediction, and named entity recognition, powered by state-of-the-art language models specialised on Twitter.

Track live sentiment for stocks from Reddit and Twitter and identify growing stocks

A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

Listens for Stock news on Twitter, performs sentiment analysis by mining information from an online news source, performs supervised predictive modeling and suggests buy or sell decisions of the stock. Computes portfolio returns over time.

Deep Neural Network for Sentiment Analysis on Twitter

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

Real-time sentiment analysis in Python using twitter's streaming api

🌍 Sentiment analysis over real-time social media data, rendering live charts to visualise trends

16 Text Preprocessing Techniques in Python for Twitter Sentiment Analysis.

TweeQL is a Query Language for Tweets: SELECT brand(text) AS brand, sentiment(text) AS sentiment FROM twitter_sample;

Twitter Sentiment Analyzer

This script can tell you the sentiments of people regarding to any events happening in the world by analyzing tweets related to that event

Predicts real-time bitcoin price using twitter and reddit sentiment, and sends out notifications via SMS.

An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets.

FinTwit-Bot is a Discord bot designed to track and analyze financial markets by pulling data from platforms like Twitter, Reddit, and Binance. It features customizable tools for sentiment analysis, market trends, and portfolio tracking to help traders stay informed and make data-driven decisions.

Real-Time, Twitter sentiment analyzer engine

:star2: :sparkles: Analyze and visualize Twitter Sentiment on a world map using Spark MLlib

Let's perform Twitter sentiment analysis using Python, Docker, Elasticsearch, and Kibana!

Sentiment Analysis on Twitter

tutorial for sentiment analysis on Twitter data using Python

Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.

:mag: This project is about searching the twitter for job opportunities using popular hashtags and applying sentiment analysis on this. :hash: :bird:

Twitter Sentiment Analysis Challenge for Learn Python for Data Science #2 by @Sirajology on Youtube

Twitter Sentiment Analysis using Spark and Kafka