Popular GitHub Repositories for Textblob

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

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

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

Sentiment Analysis Project using Natural Language Processing (NLP) Techniques

Emotion AI (Sentiment Analysis) of Tweets using TextBlob and Django (Python)

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.

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

The code uses the tweepy library to access the Twitter API and the TextBlob library to perform Sentiment Analysis on each Tweet.

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

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

A collection of python projects relating to natural language processing, including computational linguistics, network graph analysis, and patent analytics. Live examples are hosted on my JupyterHub and demonstrate some of my favorite libraries, including spaCy, Pandas, NetworkX, Gensim, and TextBlob. Also includes a sprinkle of blockchain and my published papers.

In this project, I explore various machine learning techniques including Principal Component Analysis (PCA), Support Vector Machines (SVM), Artificial Neural Networks (ANN), and Sentiment Analysis in an effort to predict the directional changes in exchange rates for a list of developed and developing countries.

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

A python project that automates the analysis of tweets emotions

Description A Python-based web application for analyzing sentiment in movie reviews using NLP techniques and machine learning models. Built with Flask and libraries like NLTK or TextBlob, it provides a user-friendly interface for sentiment classification.

NLP basic and advance text preprocessing concepts and techniques

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

This repository contains the social media data scraper and the notebooks of this analysis. Where we analise the Social Media posts - tweets with Sentiment Analysis then we analyse this results with Named Entity Recognition (NER) and Information Extraction methods to get a more accurate and detailed picture of this sentiment results.

Collection of NLP Examples