Minimalist api for text polarity / subjectivity

Do you want to analyse the sentiment of Tweets? This projects connects to the Twitter API and evaluates the Tweets using TextBlob

Twitter sentiment analysis using tweepy api.

Natural Language Processing research by University of Messina

A Graphical Text Sentiment Analyzer

Model training and live twitter analysis. Done for the J-component for CSE4009, Fall-sem 19, Parallel and Distributed computing

[HackUTD 2019] REST backend to identify subjectivity of news articles using NLP. Written in Django with TextBlob

This project is done as part of the software engineering class. The project objective is to create a search engine which takes input from user and input should be topic related to the news. Website will be searching all relevant articles from web and result will be displayed to the user in 30 lines so that the user doesn't have to open multiple …

Joe Biden Inauguration speech. Sentiments analyzed with NLP

英语环境下的情感分析——调包+决策树VS神经网络

Marlowe Objectivity using TextBlob NaiveBayes

Media Twitter Analysis

Using NLP to compare responses from users on different telecom companies

Paraphrasing based on backtranslation

Vorhersage von Sternebewertungen der Seite thomann.de

Sentiment Analysis for customer experience

sentimentAnalysis: Sentiment Analysis implementation with the TextBlob Python API. Receipt of text to be analyzed via YARP and publication of results via YARP port.

This is a python project that stream tweets using tweepy API in a differnt language, translates the tweets to english and determines the sentiments of the tweets using Logistic regression classifier.

Hello today I wrote a spelling checker app with python