Popular GitHub Repositories for Textblob

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

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.

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 python project that automates the analysis of tweets emotions

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

NLP basic and advance text preprocessing concepts and techniques

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

Natural Language Processing Recipes

Sentiment analysis and classification of German/English product reviews

I created a new technique to do sentiment analysis with 98% probability using multiple techniques combined to from a new method. I made a video on this whole project and show you, how “Next Gen Sentiment” is much better then NLTK, TEXTBLOB or LLMs.

This repository contains a collection of Machine Learning and NLP projects, including sentiment analysis with NLTK, text preprocessing, and deep learning models. It covers techniques like tokenization, stopword removal, lemmatization, rule-based analysis, and transformer models like BERT for practical NLP applications.

Natural Language Processing First Steps with Python

Natural Language Processing. This repo contains the NLP materials for the 1st edition of the Data Science Master held at KSchool Barcelona.

Inpoda est un programme python qui traite et analyse les données d'une base de données stocké au format JSON. L'enjeux principal d'Inpoda est d'extraire les 'Topics' et sentiments des tweets d'une base de données internationale.

This project applies Text Mining techniques using Python (NLTK, spaCy, TextBlob) to analyze a book. It includes text cleaning, tokenization, sentiment analysis, and keyword extraction to uncover insights.

Leveraged NLP techniques such as sentiment analysis and topic modeling to analyze different stand-up comedians using LDA, lemmatization, markov models, etc.