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

• UpdatedDec 5, 2023
• Python

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.

• UpdatedAug 21, 2025
• Jupyter Notebook

top 1% solution to toxic comment classification challenge on Kaggle.

• UpdatedFeb 6, 2019
• Jupyter Notebook

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

• UpdatedFeb 28, 2023
• Python

This repository provides everything to get started with Python for Text Mining / Natural Language Processing (NLP)

• UpdatedJun 5, 2020
• Jupyter Notebook

🔍 This project is about searching the twitter for job opportunities using popular hashtags and applying sentiment analysis on this. #️⃣ 🐦

• UpdatedAug 12, 2024
• Python

Arabic support for textblob

• UpdatedOct 21, 2021
• Python

Inhibits commits with bad messages from getting merged

• UpdatedAug 15, 2024
• Python

Sentiment Analysis Project using Natural Language Processing (NLP) Techniques

• UpdatedJan 15, 2021
• Jupyter Notebook

A Python programming course at Omnia, Fall 2024

• UpdatedNov 28, 2025
• Python

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

• UpdatedNov 5, 2016
• Python

Simple example of using TextBlob to perform sentiment analysis

• UpdatedSep 22, 2020
• Python

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

• UpdatedMay 1, 2023
• Python

Analysis of Indonesian public sentiment towards government policies regarding the COVID-19 vaccine.

• UpdatedJan 3, 2021
• Jupyter Notebook

Application made with Node.js and Python.

• UpdatedMar 27, 2021
• HTML

The objective of this project is to utilize the IMDB data set to generate Meaningful and Interesting Insights and then create a movie rating model based on average IMDB ratings and a sentiment analysis score of user tweets. And also to create an accurate Machine Learning model to predict average movie ratings based on some key features.

• UpdatedMay 21, 2018
• Jupyter Notebook

A scientific benchmark and comparison of the performance of sentiment analysis models in NLP on small to medium datasets

• UpdatedDec 14, 2020
• Jupyter Notebook

Perform sentiment analysis on tweets using NLTK and TextBlob!

• UpdatedMay 1, 2019
• Python

Developed a hybrid-filtering personalized news articles recommendation system which can suggest articles from popular news service providers based on reading history of twitter users who share similar interests (Collaborative filtering) and content similarity of the article and user’s tweets (Content-based filtering)

• UpdatedMay 10, 2020
• Jupyter Notebook

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

• UpdatedAug 1, 2020
• Python