Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

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

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.

各种nlp 框架（自然语言处理）集成以及使用包括 word2vec nltk textblob crf++ 等

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

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

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:

German language support for TextBlob.

*Deprecated* A fast and accurate part-of-speech tagger for TextBlob.

Arabic support for textblob

An affect generator based on TextBlob and the NRC affect lexicon. Note that lexicon license is for research purposes only.

Inhibits commits with bad messages from getting merged

French language support for TextBlob.

A TextBlob sentiment analysis pipeline component for spaCy.

Sentiment Analysis Project using Natural Language Processing (NLP) Techniques

A Python programming course at Omnia, Fall 2024

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

Twitter Sentiment Analysis using Textblob and Tweepy, wrapped with Flask as a web app.

I used the TextBlob library for this code. It has natural language processing capabilities

API server for TextBlob: Sentiment analysis, POS tagging, noun phrase extraction.

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

Simple example of using TextBlob to perform sentiment analysis

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

Sentiment Analysis using tweepy,NLTK and Textblob

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

Word Graph utility built with NLTK and TextBlob

Sentiment Analysis Twitter Bahasa Indonesia dengan TextBlob. Diaplikasikan untuk menganalisis tentang topik debat capres-cawapres 2019

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