Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
$ git clone https://github.com/shirosaidev/stocksight.gitLearn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
This repository consists of all my NLP Projects
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
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.
This script can tell you the sentiments of people regarding to any events happening in the world by analyzing tweets related to that event
Data from GitHub · snapshot Sep 24, 2026